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Field
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, and to evaluate the clinical performance of new technology in new clinical applications. The group counts with wide-ranging expertise in image processing, reconstruction, and analysis, as
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outcomes in the Netherlands and beyond. This data-driven project will use real-world data to examine how centralization affects equity in access, treatment patterns, and the integration of complex
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want to contribute to the next level of self-driving labs? Are you excited about the application of high-throughput experiments to train AI tools to predict properties of complex mixtures? Then join our
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, interdisciplinary approach, regional engagement, and personalized environment. Situated within CF, the Knowledge Infrastructure department (KI) focuses on the development and critical analysis of knowledge
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on addressing the complexity of the device-software-application-data design space, enabling systematic and efficient exploration using modeling and simulation tools.## Key Responsibilities- Identify and
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on the legal challenges technical industry is encountering when adopting AI in its processes. The successful candidate will carry out an analysis of how the European legal framework (including the AI Act, GDPR
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candidate will carry out an analysis of how the European legal framework (including the AI Act, GDPR, worker rights frameworks) supports and/or restricts AI adoption in the uptake of AI in the process of
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management? Your work will combine theoretical analysis with real-world case studies to identify promising institutional approaches. You’ll evaluate current governance mechanisms, financial instruments, and
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data, and primarily focus on developing medical image analysis and AI methodologies. The project is a collaboration with Radboud UMC, ProBCI (Dutch Bladder Cancer Infrastructure), and IKNL (Netherlands
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response with fMRI in the context of different cognitive paradigms. What you’ll be doing Conducting data collection and analysis Writing of scientific papers; Presenting your findings; Teaching at Bachelor’s