51 computer-programmer-"https:"-"Inserm"-"https:"-"https:"-"https:"-"https:"-"J"-"J" positions at Nature Careers in Denmark
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cancer, inflammation, neuroscience, and personalized medicine. The department provides high-quality research-based teaching and contributes substantially to the medical degree programme. With around 500
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Researcher Development Programme targeted at career development for postdocs at AU. You can read more about it here . The application must be submitted via Aarhus University’s recruitment system, which can be
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Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU here . Further information Further information may be obtained from Jens K
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Assistant Professor (tenure-track) and Associate Professor (tenured) Positions in Computer Scienc...
The Department of Mathematics and Computer Science at the University of Southern Denmark invites applications for both tenure-track Assistant Professors and Associate Professors in Computer
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The Centre for Formal Methods and Future Computing (FORM) and the Danish Institute for Advanced Study (DIAS) at the University of Southern Denmark (SDU, Campus Odense and Vejle) seek
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Research Center (CORC). The successful candidate will contribute to the HyperCap research program by developing improved and cost-efficient synthesis routes for thermodynamic promoter systems used in gas
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or a closely related field is required, or for a 4-year integrated Master’s and PhD program. Essential qualifications include: a strong motivation for fundamental research a solid background in particle
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program focusing on methodological as well as transferable skills, including dissemination, collaboration, and work planning CPPEM as a whole spans research from pharmacoepidemiology and clinical studies
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Biological and Chemical Engineering programme. The position
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programme at the Faculty of Science . The ideal candidate has a background in or experience with one or more of the following topics: Advanced deep learning architectures Mathematical foundations of machine