305 associate-professor-computer "https:" "https:" "https:" "https:" "OsloMet storbyuniversitetet" Postdoctoral research jobs in Denmark
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description AAU Energy invites applications for a full-time, two
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Postdoc in Biomedical modelling of the human colon and surrounding organs Department of Computer Science Faculty of Science University of Copenhagen The Department of Computer Science invites
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and the Danish Confederation of Professional Associations for academics in the Danish state. Further information Contact the principal investigator (PI) on the project, professor Line Bjørnskov Pedersen
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information For further information, please contact: Associate Professor, Xuping Zhang, +45 41893167, Email: xuzh@mpe.au.dk . Deadline Applications must be received no later than February 26th. Application
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Job Description Applications are invited for a position as postdoc in Computational Biology in the laboratory of DNRF Chair and Novo Nordisk Faculty Professor Vijay Tiwari (https://www.tiwarilab.org
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with Bioneer, DTU Bioengineering, DTU Health Tech, and KU, DTU Compute is aiming to create a shared data framework and platform to pioneering models and methods with applications to stems cells
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of Animal and Veterinary Sciences (au.dk) for further information about the department; https://anivet.au.dk/en Contact Further information on the position may be obtained from Head of Research Unit Peter
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. Read more about CEBE (https://villumfonden.dk/en/nyhed/billion-kroner-research-grant-accelerate-green-transition-built-environment). The transition from CO2 producing building materials to renewable, CO2
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postdoc cannot stand alone as a qualification for later employment as associate professor/senior researcher. The successful applicant will be employed in accordance with the agreement between the Ministry
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computing capacities as well as an extensive national and international researcher network. The department consists of nine research sections with around 350 highly skilled employees, of which approximately