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contributions in accordance with NTNU's social mission). General information A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you
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for academic positions. Information about applicants may be made public even if the applicant has requested not to be listed as a candidate. If the request is not followed, the applicant shall be
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politicians and patients/ elderly members of the community) who are currently involved in a large-scale attempt to develop and test new digital care technologies in the region. These technologies (including
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of this position will be the investigation of meteorological phenomena impacting the wind energy sector, in particular with respect to wind resources and wind conditions. For example, investigating how large-scale
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radar aeroecology, analysing weather radar data to answer biological questions. The work will involve processing and analysing large amounts of data, writing publications, and actively seeking external
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can be defined as the westernmost part of the well-studied Frisian-Drenthe Plateau (FDP). While the FDB at large is a region of which the prehistoric occupation history is well known, most information
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for this position will specifically contribute to the project by successfully developing methods to integrate large and complex molecular datasets with information at individual level, with specific attention to open
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(Southampton and Denmark), and participation in large-scale testing in Denmark to validate industrial applications of your research. This project is an excellent opportunity for candidates who are interested in
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advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological systems
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and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data