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collection programs (e.g. R, fomr) Very good English and German skills (or willingness to acquire them) Interest in media communication We offer Part of a young and dynamic Emmy Noether Research Group Diverse
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many research synergies coming together on the main thread of machine learning and Artificial Intelligence (AI). The successful candidate will join the newly established research group AI in
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inference implementation of your machine learning pipeline in Python (using e.g. PyTorch) validation of your results in collaboration with colleagues from various application areas publication and
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deep learning, generative models, or biomedical imaging/omics data Strong programming skills (Python, PyTorch, etc.) A commitment to interdisciplinary collaboration and impactful research How to Apply
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youth in schools, including social media data donation. As a PhD candidate, your tasks will include: instrument selection; setting up the social media data donation in collaboration with experts
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detection of respiratory viruses and optimize pandemic response strategies? Then we are looking for you! Join our FWO-SBO project ANTICIPATE, a collaboration between the University of Antwerp, VUB and the
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based on the Arctic region, we create global social benefit. Our scientific and artistic research and education are conducted in close collaboration with international, national and regional companies
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collaboration with the Interfaces and Correlated Electronics (ICE) group at the University of Twente and the Infomatter group at AMOLF. The SMIP project aims at revolutionising computing by developing adaptive
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-Channel Evaluation of Cellular Dynamics (TIMED) , is a 5-year collaboration between researchers at Chalmers University of Technology, Uppsala University, and Karolinska Institute. About us The Department of
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structural alloys. The project will combine advanced phase-field fracture mechanics, continuum-scale chemo-thermo-mechanical modeling, and advanced machine learning techniques for enhanced prediction accuracy