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Inzetten van AI coding assistants en Model Context Protocol (MCP)-servers om pipeline-ontwikkeling, test-generatie en data-integratie te versnellen. * Je hebt aantoonbare hands-on ervaring met AI coding assistants zoals Claude Code, Cursor of GitHub Copilot, inclusief het opzetten van Model Context Protocol (MCP)-servers om deze tools te verbinden met dataplatformen en catalogi. Ben jij gepassioneerd over het omzetten van complexe data in bruikbare inzichten en het bouwen van de backbone voor geavanceerde AI/ML-oplossingen? Gebruik je AI coding assistants zoals Claude Code of Cursor als een natuurlijke verlenging van je engineering-toolkit? Bij Vectr Groep bouwen we al jaren de data- en AI-fundamenten van organisaties die het verschil willen maken. Bij VDAB bouwden we zes jaar lang mee aan schaalbare data & AI producten.
Inzetten van AI coding assistants en Model Context Protocol (MCP)-servers om pipeline-ontwikkeling, test-generatie en data-integratie te versnellen. * Je hebt aantoonbare hands-on ervaring met AI coding assistants zoals Claude Code, Cursor of GitHub Copilot, inclusief het opzetten van Model Context Protocol (MCP)-servers om deze tools te verbinden met dataplatformen en catalogi. Ben jij gepassioneerd over het omzetten van complexe data in bruikbare inzichten en het bouwen van de backbone voor geavanceerde AI/ML-oplossingen? Gebruik je AI coding assistants zoals Claude Code of Cursor als een natuurlijke verlenging van je engineering-toolkit? Bij Vectr Groep bouwen we al jaren de data- en AI-fundamenten van organisaties die het verschil willen maken. Bij VDAB bouwden we zes jaar lang mee aan schaalbare data & AI producten.
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Embed ethical use of data and AI models by design, and in alignment with legal and regulatory requirements (e.g. GDPR, EU AI Act) * Collaborate closely with , , and other technical experts throughout the product lifecycle, including reviewing estimations and technical analyses, to ensure the delivery of high-quality, impactful data and AI products (data sets, dashboards, APIs, ML/AI/GenAI models, …). We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Now, with responsible AI, we're ready to unlock a future change. Are you a Data & AI Product Owner passionate about shaping the future of data-driven solutions? As a Data & AI Product Owner, you'll be a key member of our Data Strategy team. You'll work closely with clients to understand their business challenges and translate them into a compelling vision and capabilities roadmap for data and AI products.
Embed ethical use of data and AI models by design, and in alignment with legal and regulatory requirements (e.g. GDPR, EU AI Act) * Collaborate closely with , , and other technical experts throughout the product lifecycle, including reviewing estimations and technical analyses, to ensure the delivery of high-quality, impactful data and AI products (data sets, dashboards, APIs, ML/AI/GenAI models, …). We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Now, with responsible AI, we're ready to unlock a future change. Are you a Data & AI Product Owner passionate about shaping the future of data-driven solutions? As a Data & AI Product Owner, you'll be a key member of our Data Strategy team. You'll work closely with clients to understand their business challenges and translate them into a compelling vision and capabilities roadmap for data and AI products.
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Generative AI & Model Engineering: Select, evaluate, and integrate foundation models on Amazon Bedrock; design, implement, and evaluate RAG pipelines (including retrieval quality and RAG evaluation); apply prompt engineering and model customization; and leverage Amazon SageMaker for building and deploying classical (non-generative) machine learning models and for the broader ML lifecycle - training, hosting, and monitoring - where appropriate. * Solid understanding of generative AI and agentic concepts: foundation models, prompt engineering, RAG and RAG evaluation, vector databases, tool/function calling, multi-agent orchestration, memory, and AI agent evaluation. Now, with responsible AI, we're ready to unlock a future where technology drives positive change. We are seeking a Senior AWS AI Engineer to join our growing AI engineering team.
Generative AI & Model Engineering: Select, evaluate, and integrate foundation models on Amazon Bedrock; design, implement, and evaluate RAG pipelines (including retrieval quality and RAG evaluation); apply prompt engineering and model customization; and leverage Amazon SageMaker for building and deploying classical (non-generative) machine learning models and for the broader ML lifecycle - training, hosting, and monitoring - where appropriate. * Solid understanding of generative AI and agentic concepts: foundation models, prompt engineering, RAG and RAG evaluation, vector databases, tool/function calling, multi-agent orchestration, memory, and AI agent evaluation. Now, with responsible AI, we're ready to unlock a future where technology drives positive change. We are seeking a Senior AWS AI Engineer to join our growing AI engineering team.
To process the large amounts of data we receive daily, we built internal tools around a flexible cloud-based data processing pipeline which includes several AI models. Our all-in-one platform enhances productivity, quality, and performance across every stage of renewable energy projects, powered by AI and robotics.
To process the large amounts of data we receive daily, we built internal tools around a flexible cloud-based data processing pipeline which includes several AI models. Our all-in-one platform enhances productivity, quality, and performance across every stage of renewable energy projects, powered by AI and robotics.
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To process the large amounts of data we receive daily, we built internal tools around a flexible cloud-based data processing pipeline which includes several AI models. Our all-in-one platform enhances productivity, quality, and performance across every stage of renewable energy projects, powered by drones and AI.
To process the large amounts of data we receive daily, we built internal tools around a flexible cloud-based data processing pipeline which includes several AI models. Our all-in-one platform enhances productivity, quality, and performance across every stage of renewable energy projects, powered by drones and AI.
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To process the large amounts of data we receive daily, we built internal tools around a flexible cloud-based data processing pipeline which includes several AI models. Our all-in-one platform enhances productivity, quality, and performance across every stage of renewable energy projects, powered by AI and robotics.
To process the large amounts of data we receive daily, we built internal tools around a flexible cloud-based data processing pipeline which includes several AI models. Our all-in-one platform enhances productivity, quality, and performance across every stage of renewable energy projects, powered by AI and robotics.
No match yet? There are 140 more jobs that could match your search
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Data, AI & Platform Ownership - Own the enterprise data and AI platform landscape, ensuring scalable, secure, and future-ready foundations. * Own and evolve core data and AI platforms. Governance, Risk & Compliance (Data & AI) Ensure trusted, compliant, and responsible use of data and AI. * Embed Responsible AI principles by design. Drive consistent and effective delivery of Data, AI, and Automation solutions. * Drive the evolution toward a data product and AI-driven organisation. * Define operating model, roles, and ways of working. * Directly lead and develop multidisciplinary teams (data engineering, analytics, AI, automation). * Advanced degree in Data, AI, Analytics, Engineering, or Business is an advantage. * Extensive experience across Data, Analytics, Automation, and/or AI domains. * Passionate about Data, AI & Automation, with continuous learning as a natural habit.
Data, AI & Platform Ownership - Own the enterprise data and AI platform landscape, ensuring scalable, secure, and future-ready foundations. * Own and evolve core data and AI platforms. Governance, Risk & Compliance (Data & AI) Ensure trusted, compliant, and responsible use of data and AI. * Embed Responsible AI principles by design. Drive consistent and effective delivery of Data, AI, and Automation solutions. * Drive the evolution toward a data product and AI-driven organisation. * Define operating model, roles, and ways of working. * Directly lead and develop multidisciplinary teams (data engineering, analytics, AI, automation). * Advanced degree in Data, AI, Analytics, Engineering, or Business is an advantage. * Extensive experience across Data, Analytics, Automation, and/or AI domains. * Passionate about Data, AI & Automation, with continuous learning as a natural habit.
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Build end-to-end AI pipelines from prototype to production (data → model → integration → monitoring) * Contribute to AI documentation such as model cards and risk assessments - In Northern Europe, at Unit level (Belgium, Germany, Switzerland and Austria) we are accelerating an ambitious AI-driven transformation to reshape how assistance is delivered across: Mobility (roadside assistance), travel assistance, travel claims, customer service, fraud & leakage, sales, and support functions - Our objective: industrialize AI at scale to improve: Operational efficiency, customer experience, decision-making, and automation and productivity. All within a strong framework of governance, compliance, and responsible AI. As an AI Engineer, you will have a Transformation role and will design, build, deploy, and operate AI solutions that support real operational use cases across the 4 countries ...
Build end-to-end AI pipelines from prototype to production (data → model → integration → monitoring) * Contribute to AI documentation such as model cards and risk assessments - In Northern Europe, at Unit level (Belgium, Germany, Switzerland and Austria) we are accelerating an ambitious AI-driven transformation to reshape how assistance is delivered across: Mobility (roadside assistance), travel assistance, travel claims, customer service, fraud & leakage, sales, and support functions - Our objective: industrialize AI at scale to improve: Operational efficiency, customer experience, decision-making, and automation and productivity. All within a strong framework of governance, compliance, and responsible AI. As an AI Engineer, you will have a Transformation role and will design, build, deploy, and operate AI solutions that support real operational use cases across the 4 countries ...
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To support its growth in Belgium, the company is looking for a hands-on Business Development Lead who will play a key role in expanding the local business, driving revenue, and establishing the company as a market leader in AI-driven digital solutions. Our client is a leading European digital agency specialized in the design and development of AI-native digital products (mobiel, web, agents) for customers across different industries. This new model significantly accelerates delivery timelines and reduces costs, positioning the company as a disruptive player in the digital services and software industry. * Promote a disruptive value proposition combining AI-powered software and services * Re-engage existing and past clients with the new AI-driven offering * Create impactful messaging around the company's AI capabilities
To support its growth in Belgium, the company is looking for a hands-on Business Development Lead who will play a key role in expanding the local business, driving revenue, and establishing the company as a market leader in AI-driven digital solutions. Our client is a leading European digital agency specialized in the design and development of AI-native digital products (mobiel, web, agents) for customers across different industries. This new model significantly accelerates delivery timelines and reduces costs, positioning the company as a disruptive player in the digital services and software industry. * Promote a disruptive value proposition combining AI-powered software and services * Re-engage existing and past clients with the new AI-driven offering * Create impactful messaging around the company's AI capabilities
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• Normen, beleid en goede praktijken op het gebied van gegevensbeheer definiëren en verspreiden, bewustzijn creëren voor nieuwe regelgevingskaders zoals de European Data Governance Act, de AI Act en de European Health Data Space (EHDS). • Samenwerken met de BI- en AI-teams om een geharmoniseerde en semantisch consistente modellering van data te garanderen.
• Normen, beleid en goede praktijken op het gebied van gegevensbeheer definiëren en verspreiden, bewustzijn creëren voor nieuwe regelgevingskaders zoals de European Data Governance Act, de AI Act en de European Health Data Space (EHDS). • Samenwerken met de BI- en AI-teams om een geharmoniseerde en semantisch consistente modellering van data te garanderen.
Je bent verbonden aan het Data Office dat geleid wordt door de Chief Data Officer en je werkt nauw samen met de BI-, AI-, data governance teams zowel als met de IT teams en de Business Units. - Je definieert de architectuur van de verschillende functionele componenten van het centrale data platform (integratieprocessen, validatiemotor van de kwaliteit van de data, data lake, data warehouses, secure processing environment, datacatalogus, advanced analytics & AI, enz.).
Je bent verbonden aan het Data Office dat geleid wordt door de Chief Data Officer en je werkt nauw samen met de BI-, AI-, data governance teams zowel als met de IT teams en de Business Units. - Je definieert de architectuur van de verschillende functionele componenten van het centrale data platform (integratieprocessen, validatiemotor van de kwaliteit van de data, data lake, data warehouses, secure processing environment, datacatalogus, advanced analytics & AI, enz.).
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Transform regulatory intelligence capabilities through digital tools, advanced analytics, and new operating models to enhance speed, quality, and impact of insights across the organization. Voor meer informatie over toegestane en verboden toepassingen van AI tijdens het wervingsproces, raadpleeg onze richtlijnen voor het gebruik van AI door kandidaten op Pfizer Careers.
Transform regulatory intelligence capabilities through digital tools, advanced analytics, and new operating models to enhance speed, quality, and impact of insights across the organization. Voor meer informatie over toegestane en verboden toepassingen van AI tijdens het wervingsproces, raadpleeg onze richtlijnen voor het gebruik van AI door kandidaten op Pfizer Careers.
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Digital Skills: Proficiency in BI tools (e.g., Power BI, Tableau) and a keen interest in applying AI-driven solutions to financial modeling and data analysis. * Digital Transformation: Leverage Business Intelligence (BI) tools and emerging AI technologies to automate reporting, enhance data visualization, and drive predictive financial insights.
Digital Skills: Proficiency in BI tools (e.g., Power BI, Tableau) and a keen interest in applying AI-driven solutions to financial modeling and data analysis. * Digital Transformation: Leverage Business Intelligence (BI) tools and emerging AI technologies to automate reporting, enhance data visualization, and drive predictive financial insights.
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Since a few years we are expanding our cybersecurity and AI security team to bring that same trusted, independent perspective to the digital world. Safety can no longer be guaranteed without addressing cybersecurity and AI security. A connected machine, an AI-driven process, or a digital product carries risks that are just as real as a faulty industrial process, and the consequences of getting it wrong can be just as severe. We approach cybersecurity and AI security the way we have always approached safety: independently, rigorously, and from a position of trust. A wave of new regulation (NIS2, the Cyber Resilience Act (CRA), the AI Act, the Machinery Regulation) is creating both urgency and opportunity. * Conduct independent cybersecurity and AI security assessments, penetration tests, and third-party risk assessments;
Since a few years we are expanding our cybersecurity and AI security team to bring that same trusted, independent perspective to the digital world. Safety can no longer be guaranteed without addressing cybersecurity and AI security. A connected machine, an AI-driven process, or a digital product carries risks that are just as real as a faulty industrial process, and the consequences of getting it wrong can be just as severe. We approach cybersecurity and AI security the way we have always approached safety: independently, rigorously, and from a position of trust. A wave of new regulation (NIS2, the Cyber Resilience Act (CRA), the AI Act, the Machinery Regulation) is creating both urgency and opportunity. * Conduct independent cybersecurity and AI security assessments, penetration tests, and third-party risk assessments;
Data, AI & Platform Ownership - Own the enterprise data and AI platform landscape, ensuring scalable, secure, and future-ready foundations. * Own and evolve core data and AI platforms. Governance, Risk & Compliance (Data & AI) Ensure trusted, compliant, and responsible use of data and AI. * Embed Responsible AI principles by design. Drive consistent and effective delivery of Data, AI, and Automation solutions. * Drive the evolution toward a data product and AI-driven organisation. * Define operating model, roles, and ways of working. * Directly lead and develop multidisciplinary teams (data engineering, analytics, AI, automation). * Advanced degree in Data, AI, Analytics, Engineering, or Business is an advantage. * Extensive experience across Data, Analytics, Automation, and/or AI domains. * Passionate about Data, AI & Automation, with continuous learning as a natural habit.
Data, AI & Platform Ownership - Own the enterprise data and AI platform landscape, ensuring scalable, secure, and future-ready foundations. * Own and evolve core data and AI platforms. Governance, Risk & Compliance (Data & AI) Ensure trusted, compliant, and responsible use of data and AI. * Embed Responsible AI principles by design. Drive consistent and effective delivery of Data, AI, and Automation solutions. * Drive the evolution toward a data product and AI-driven organisation. * Define operating model, roles, and ways of working. * Directly lead and develop multidisciplinary teams (data engineering, analytics, AI, automation). * Advanced degree in Data, AI, Analytics, Engineering, or Business is an advantage. * Extensive experience across Data, Analytics, Automation, and/or AI domains. * Passionate about Data, AI & Automation, with continuous learning as a natural habit.
Ook vertaal je machine learning -use cases naar duurzame technische implementaties die in overeenstemming zijn met de geldende regelgeving (met name de Europese AI-wet). - Machine learning libraries and opensource model/tools (scikit-learn, PyTorch,, Langraph, Ollama, Langchain)
Ook vertaal je machine learning -use cases naar duurzame technische implementaties die in overeenstemming zijn met de geldende regelgeving (met name de Europese AI-wet). - Machine learning libraries and opensource model/tools (scikit-learn, PyTorch,, Langraph, Ollama, Langchain)
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Je hebt een grote affiniteit met digitalisering, softwaresystemen en het inzetten van AI.
Je hebt een grote affiniteit met digitalisering, softwaresystemen en het inzetten van AI.
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Je hebt een grote affiniteit met digitalisering, softwaresystemen en het inzetten van AI.
Je hebt een grote affiniteit met digitalisering, softwaresystemen en het inzetten van AI.
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Als Data Engineer Health Sector maak je deel uit van het Data Office, waar multidisciplinaire Agile-teams werken (Data Engineer, Projectleiders, Data Architects, specialisten in Data Governance en Data Quality, AI-experts, enz.).
Als Data Engineer Health Sector maak je deel uit van het Data Office, waar multidisciplinaire Agile-teams werken (Data Engineer, Projectleiders, Data Architects, specialisten in Data Governance en Data Quality, AI-experts, enz.).
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* AMP NV * Neder-Over-Heembeek * Vast contract, onbepaalde tijd * Thuiswerken mogelijk, Voltijds Solliciteer als één van de eersten Bedrijfsvoordelen Maaltijdcheques Openbaar vervoer Frais de déplacement
* AMP NV * Neder-Over-Heembeek * Vast contract, onbepaalde tijd * Thuiswerken mogelijk, Voltijds Solliciteer als één van de eersten Bedrijfsvoordelen Maaltijdcheques Openbaar vervoer Frais de déplacement
Je gebruikt regelmatig en op een efficiënte manier generatieve AI-tools in je privé- en professionele context en bent geïnteresseerd en nieuwsgierig naar de ontwikkelingen in dit domein.
Je gebruikt regelmatig en op een efficiënte manier generatieve AI-tools in je privé- en professionele context en bent geïnteresseerd en nieuwsgierig naar de ontwikkelingen in dit domein.
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Contribute to the implementation of new tools and technologies, including AI-enabled solutions * Participate in discussions around pricing, profitability, payment terms, and business model optimization * Interest in automation, process optimization and AI-driven workflows
Contribute to the implementation of new tools and technologies, including AI-enabled solutions * Participate in discussions around pricing, profitability, payment terms, and business model optimization * Interest in automation, process optimization and AI-driven workflows
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Data governance & quality expert
Data governance & quality expert
Crelan NV
Wij werken met hybride setup tussen Antwerpen en Brussel in combinatie met thuiswerk
Partially remote
De Crelan Groep (inclusief Europabank) kiest resoluut voor een toekomst waarin data en AI centraal staan in besluitvorming en operationele processen. * in de verdere ontwikkeling van AI-toepassingen en een toekomstgericht IT-landschap, Samen leggen we de fundamenten die nodig zijn om duurzame waarde te creëren met data en AI. * de herziening van onze Data & AI policies, * en een versterkte governance rond data, rapportering, analytics en AI. We zetten technologie en AI doelgericht in om efficiënter te werken en een sterke gebruikersadoptie te realiseren. Daarnaast begeleiden we een brede community van meer dan 100 owners, stewards, custodians en ambassadeurs data / AI / reporting. * het definiëren en regelmatig actualiseren van onze Data & AI-strategie en het vertalen ervan naar concrete roadmaps, * het ontwerpen en implementeren van processen rond data- en AI-beheer, ondersteund door ...
De Crelan Groep (inclusief Europabank) kiest resoluut voor een toekomst waarin data en AI centraal staan in besluitvorming en operationele processen. * in de verdere ontwikkeling van AI-toepassingen en een toekomstgericht IT-landschap, Samen leggen we de fundamenten die nodig zijn om duurzame waarde te creëren met data en AI. * de herziening van onze Data & AI policies, * en een versterkte governance rond data, rapportering, analytics en AI. We zetten technologie en AI doelgericht in om efficiënter te werken en een sterke gebruikersadoptie te realiseren. Daarnaast begeleiden we een brede community van meer dan 100 owners, stewards, custodians en ambassadeurs data / AI / reporting. * het definiëren en regelmatig actualiseren van onze Data & AI-strategie en het vertalen ervan naar concrete roadmaps, * het ontwerpen en implementeren van processen rond data- en AI-beheer, ondersteund door ...
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Capco's AI Lab - The AI Lab is a cross-disciplinary research and engineering centre that translates advanced AI research into robust, deployable solutions for clients and internal products. , secure and scalable AI deployment. * Build and maintain reliable AI-enabled backend systems, including orchestration layers, tool integrations, knowledge access mechanisms, and observability. * Apply strong software engineering practices (testing, CI/CD, monitoring, structured logging, versioning of prompts and ) to ensure reliability and maintainability of AI systems. * Collaborate with cross-functional teams to integrate AI capabilities into enterprise applications and workflows. * Work closely with to translate business requirements into secure, compliant, and scalable AI-driven solutions. * Contribute to system architecture decisions including agent orchestration, reasoning workflows, knowledge access strategies, ...
Capco's AI Lab - The AI Lab is a cross-disciplinary research and engineering centre that translates advanced AI research into robust, deployable solutions for clients and internal products. , secure and scalable AI deployment. * Build and maintain reliable AI-enabled backend systems, including orchestration layers, tool integrations, knowledge access mechanisms, and observability. * Apply strong software engineering practices (testing, CI/CD, monitoring, structured logging, versioning of prompts and ) to ensure reliability and maintainability of AI systems. * Collaborate with cross-functional teams to integrate AI capabilities into enterprise applications and workflows. * Work closely with to translate business requirements into secure, compliant, and scalable AI-driven solutions. * Contribute to system architecture decisions including agent orchestration, reasoning workflows, knowledge access strategies, ...
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We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Now, with responsible AI, we're ready to unlock a future where - Are you passionate about data-driven platforms, machine learning models, and innovative applications? For example, one month you might develop a predictive maintenance model, and the next, a customer segmentation model a retail client * Model Research: Investigate and select appropriate machine learning models. * ML Modeling: Develop and refine machine learning models. * Develop predictive and machine learning models tailored to client needs. * Stay updated on the latest trends in machine learning and AI, sharing insights with clients. * Hold a university degree in Computer Science, (Business) Engineering, or a specialized master's in Machine Learning or AI. * Have a solid understanding of various machine learning models ...
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Now, with responsible AI, we're ready to unlock a future where - Are you passionate about data-driven platforms, machine learning models, and innovative applications? For example, one month you might develop a predictive maintenance model, and the next, a customer segmentation model a retail client * Model Research: Investigate and select appropriate machine learning models. * ML Modeling: Develop and refine machine learning models. * Develop predictive and machine learning models tailored to client needs. * Stay updated on the latest trends in machine learning and AI, sharing insights with clients. * Hold a university degree in Computer Science, (Business) Engineering, or a specialized master's in Machine Learning or AI. * Have a solid understanding of various machine learning models ...