36 computer-programmer-"the"-"IMPRS-ML"-"IMPRS-ML"-"Prof"-"BIP"-"FEMTO-ST" "Study Group" positions at University of Copenhagen in Denmark
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, pharmacologists and structural biologists. Profile We are looking for a database developer with a computer science or similar background. Essential experience and skills: A MSc related to bioinformatics
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We are looking for a highly motivated and dynamic assistant professor who has worked with computational neuroscience and neuroengineering for a two year position with the Berg Laboratory to commence
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students. We need new DEI approaches that bridge gender and neurodiversity in computer science. NeuroGen Computing Research Project builds upon the FemTech research program , and has the long-term vision
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program, specifically at the course KOMIT: IT-Infrastruktur. Teaching at other courses and student supervision will be possible upon agreement. The Part-time Lecturer will plan and carry out teaching, exams
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Programme. We are looking for a candidate with demonstrated experience in both (i) mathematical and/or computational modelling of bacteriophage systems, and (ii) experimental research on bacteria and / or
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education in the field as part of the medical training program of the University of Copenhagen, e.g. with special focus on development and implementation of data-driven solutions and AI-based technologies
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publications Relevant research experience Other professional activities Good language skills Principal supervisor is Professor Kristian Thorup-Kristensen, ktk@plen.ku.dk . The PhD programme A three year full
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Foundation Quantum Computing Programme (NQCP) is establishing a talented and diverse international team to create a cutting-edge quantum programme in the heart of Copenhagen, Denmark. At the Niels Bohr
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The Novo Nordisk Foundation Quantum Computing Programme (NQCP) center at the Niels Bohr Institute, Faculty of Science at the University of Copenhagen, is looking for a Special Advisor, Strategy
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Professor Dorthe Varning Poulsen The PhD programme The PhD programme is a three year full-time study within the framework of the regular PhD programme (5+3 scheme), if you already have an education