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Field
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standards and safer vertical transport. Information The availability of remote monitoring and big data opens up new opportunities to innovate traditional safety assessment and certification methods, which
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understand the EUV-emitting plasma through radiation-hydrodynamics simulations Large amount of (image) data and a wide range of existing data analysis tools, allowing you to apply and develop your data
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The PhD position is part the prestigious POLARIS (Pathway towards Opportunities for Large scale Applications of Radically Integrated Systems) project. Polaris is a large flagship program (funded by
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Why apply? Do you want to shape the future of trustworthy AI and work at the intersection of foundation models, multimodal data, and explainability? This PhD project offers you the chance to develop
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Apply now Why apply? Do you want to shape the future of trustworthy AI and work at the intersection of foundation models, multimodal data, and explainability? This PhD project offers you the chance
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this PhD project, you will: investigate cardiovascular function and risk factors in critically ill patients using electrocardiograms (ECGs) and computed tomography (CT) data from a very large (> 20,000 ICU
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machine learning solutions to optimize the component lifecycle directly contributing to a more circular economy. Information In the manufacturing landscape, determining whether a component should be
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relevant innovation. Information Protein tumor markers (TMs) in blood offer a promising, minimally invasive approach to support clinical decision-making in lung cancer. However, their broad clinical
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microscopy (LFSM) and the experience in computational data science to handle the resulting large 3D datasets. We are looking for an enthusiastic and creative team player with good communication skills, who is
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. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative