62 cloud-computing-associate-professor-"https:"-"Embry-Riddle-Aeronautical-University" "https:" positions at University of Copenhagen
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descriptions The leads of the NQCP research teams are part of the backbone of the NQCP programme and each team lead heads a research group. We seek leads at the associate professor level for several of the NQCP
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of the backbone of the NQCP programme and each team lead heads a research group. We seek leads at the associate professor level for several of the NQCP teams including the Theory and Simulations team
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The Novo Nordisk 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
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Professor will be responsible for defined activities within the second EU Joint Action on Antimicrobial Resistance and Healthcare-Associated Infections (JAMRAI2) . These activities focus on surveillance
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Academic assessments Participation in formal pedagogical training program for assistant professors The candidate is expected to develop a research program in close collaboration with other center members
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Faculty of Health and Medical Sciences University of Copenhagen We are looking for two highly motivated and dynamic computational postdocs to join the group of Prof. Ana Cvejic from the 1st of June
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contact Professor Jesper Nygård (nygard@nbi.ku.dk). More information about the Center for Quantum Devices is available at https://qdev.nbi.ku.dk/ . Foreign applicants may find this link useful
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include gross pathology, histopathology, immunohistopathology, as well as molecular biological and serological methods. Principal supervisor is associate professor Anne Sofie Hammer, Section
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landscapes of disease‑associated proteins. Who are we looking for? We are looking for candidates within the fields of molecular cell biology. Applicants can have a background from Biochemistry or Molecular
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We are seeking to recruit a 2-year postdoctoral researcher within Human-Computer Interaction to work on the interdisciplinary project DARES: Data Quality for Responsible AI in Energy Systems funded