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Epidemiology, advancing interdisciplinary methods to ensure reliable AI in healthcare through innovative statistical and health-economic approaches. You will develop value-of-information measures and software
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.2025.6585). Where to apply Website https://www.academictransfer.com/en/jobs/359904/phd-student/apply/ Requirements Specific Requirements We are looking for an enthusiastic candidate with an MSc degree in
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of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied
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this way, we contribute every day to a safer and more sustainable world. Impact with law! For more information, please visit https://www.universiteitleiden.nl/en/law . What you bring We are looking
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(recycled) aluminum. You will work very closely with Exergy Storage , the battery developer, and another postdoctoral researcher in the CPM research group at the University of Twente . Your tasks are to probe
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chloride and (recycled) aluminum. You will work very closely with Exergy Storage , the battery developer, and another postdoctoral researcher in the CPM research group at the University of Twente . Your
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will Conduct high-quality methodological research in the field of small area estimation Write academic articles, blog posts and statistical software Disseminate the research in conferences and other
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of Cologne (6 months), and at the optimization software company MOSEK (1 month) in Copenhagen. At the University of Cologne, the secondment will be supervised by Professor Frank Vallentin. The CentER graduate
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future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which
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of these systems, holistic system‑level design automation is the logical and necessary next step. Achieving this requires moving beyond domain‑specific solutions by integrating mechanical, electrical, software, data