304 computing "https:" "https:" "https:" "UNIVERSITY OF BUCHAREST" research jobs in Denmark
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. For further information about the school, please see http://cas.au.dk/en/ . For more information on the Locally Crafted Empires project, please see https://projects.au.dk/locally-crafted-empires
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an experience in technology-assisted monitoring or computational image analysis. Expected start date and duration of employment The position will start in June 2026, with exact starting date as agreed between
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these disciplines. Read more here: https://www.sdu.dk/en/om-sdu/institutter-centre/fysik_kemi_og_farmaci/ominstituttet Application deadline: 21 January 2026 at 23:59 hours local Danish time Please see the full call
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. Further information Further information may be obtained from: Professor Uffe Mortensen, E-Mail: um@bio.dtu.dk You can read more about Department of Biotechnology and Biomedicine at https
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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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@dtu.dk You can read more about DTU Space and the division of Astrophysics and Atmospheric Physics at https://www.space.dtu.dk/english/ If you are applying from abroad, you may find useful information
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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
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. Further information Further information may be obtained from Prof. Ivan Mijakovic: ivmi@biosustain.dtu.dk You can read more about the hiring department at https://www.biosustain.dtu.dk/ If you are
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. In terms of research The position includes research within the project Best for Us (in Danish, Bedst for Os) https://bedstforos.dk/ . Best for Us is a large research project aimed at investigating