254 cloud-computing-"https:" "https:" "https:" "https:" "https:" "St" "St" Postdoctoral research jobs in Denmark
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Further information may be obtained from professor Ole Baltazar Andersen, phone : 45 45259754 oa(at)space.dtu.dk or professor Per Knudsen pk(at)space.dtu.dk You can read more about the division at https
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This is a full-time (37 hours/week) on-site role located at Åbogade 34, 8200 Aarhus N, Denmark for a Postdoctoral Fellow at the Department of Computer Science, Aarhus University. The postdoctoral
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components for the 3D-CIRCULAR educational and certification programmes in collaboration with partner institutions. Managing and documenting progress for the second and third programme cohorts. Facilitating
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Associate Professor Luca Vezzaro. You can read more about DTU Sustain at https://sustain.dtu.dk/ If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU
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of POLSAFE (see profile: https://vbn.aau.dk/da/persons/jajh/ )The research team will consist of two postdoctoral researchers working closely together with the principal investigator and a research assistant
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system, and the research will interact closely with the quantum computing team. We expect you to be intrigued by the potential of using synthetic dimensions and quantum optics to explore the physical world
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a master’s degree (if he/she applies for a position as research assistant) or a master’s and Ph.D. degree (if he/she applies for a position as a postdoc) in Bioinformatics, Computational Biology, or
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of Electrical and Photonics Engineering (DTU Electro). Funded by a Novo Nordisk Foundation New Exploratory Research and Discovery program, the project led by Associate Professor Nicolas Stenger aims to deepen our
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engaged scientific environment at the Section for Arctic Ecosystem Ecology (for more information see: https://ecos.au.dk/en/researchconsultancy/research-areas/arctic-ecosystem-ecology ). The department is
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, particularly with diagnostic development. Familiarity with fusion devices (tokamaks/stellarators). Knowledge of signal processing techniques for high-bandwidth data. Experience with computational modeling (e.g