293 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs in Denmark
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and applied mathematics and offers a dynamic and collegial academic atmosphere. More information about the department can be found at https://math.au.dk. Place of Work and Area of Employment The place
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Are you experienced in integrating field data and remote sensing data with numerical modelling to quantify interactions within ecosystems? Then apply to the open position as associate professor in
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on development of wave energy and offshore wind. Most of our research is focused around work in our wave flume and basin. Further description of the group may be found here: https://vbn.aau.dk/en/organisations
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Are you experienced in integrating field data and remote sensing data with numerical modelling to quantify interactions within ecosystems? Then apply to the open position as associate professor in
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mitigation technology, and data science to advance sustainable and climate-positive solutions. Exploring possibilities for ocean bioengineering and carbon dioxide removal techniques in the context of climate
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Tenure-track Assistant and Associate Professorship positions in Algorithms at the Department of M...
, combinatorial optimization, cryptology, data structures, fine-grained complexity, and algorithmic research bridging to ML/AI. Tenure-track Assistant Professorship Position Successful candidates for a tenure-track
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, departments and faculties, and with other organisations like educational institutions, municipalities, and companies. More information about the department can be found at https://imada.sdu.dk/ . Additional
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partners. Please find more information here: https://internationalstaff.au.dk/relocationservice/ Please find more information about research opportunities at Aarhus University here: http
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as described in the strategy for the Faculty of Arts https://arts.au.dk/om-arts/strategi-arts-2020-2025/ , for instance, research cooperation with private companies, government consultancy, cooperation
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. This includes understanding how AI technologies and data-informed software development with a human-centred perspective can change the engineering of products and software infrastructures. The vision