50 computer-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"Mathjobs" Fellowship positions at University of Copenhagen
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-Duchene Group is based in the Section for Health Data Science and AI at the University of Copenhagen's Department of Public Health. The group works at the intersection of computer science, mathematics
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technology and formulation, drug delivery, advanced drug analysis, and clinical and social pharmacy. Information about the Department can be found at https://pharmacy.ku.dk/ Job description Your
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Department of Computer Science (DIKU) invites applicants for PhD fellowships in Computer Science. This project is a part of the project “Differentiable Realism from AI and Modeling” (DREAM) financed
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innovation and scientific independence are encouraged. The group is embedded within ICMM, providing access to outstanding facilities for human and mouse embryology, advanced microscopy, genome engineering
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The Human Centered Computing Section at the Department of Computer Science, Faculty of Science at the University of Copenhagen invites applicants for a PhD fellowship on Street-level Bureaucracy of
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engineering, cell culture, confocal microscopy, and mass spectrometry. Career development in research and education is an integral part of the position. The PhD fellow will have the opportunity to gain
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supported by a grant from the Australian Research Council entitled “ARC Research Hub for Engineering Plants to Replace Fossil Carbon”. Start date is (expected to be 1 January 2027 or as soon as possible
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PhD Project in Cultural Reasoning with Language Models The AI Section at the Department of Computer Science invites applicants for a PhD fellowship in computational modelling and evaluation of
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facilities include modern laboratories and modern computer hardware for training artificial neural networks. Terms of employment The average weekly working hours are 37 hours per week. The employment is
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Institute. For more information, visit https://ctn.ku.dk/ . The Center currently has 55 employees and students and is divided into five labs. CTN is characterized by a highly ambitious yet collaborative