204 machine-learning-"https:" "https:" "https:" "UCL" Postdoctoral positions in Denmark
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www.kt.dtu.dk/research/dpc and https://www.kt.dtu.dk/ . If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your
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-supervision, teaching and day-to-day work of the group. The place of work is Aarhus University Energy Research Facility located at AU Campus Viborg (https://dca.au.dk/en/about-dca/au-foulum ) and Gustav Wieds
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collaborative relationships. Read more about the Department of Food Science at: https://food.au.dk/ The place of work is Department of Food Science, Aarhus University, Agro Food Park 48, Skejby, 8200 Aarhus N
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: • Develop AI-driven control strategies for grid-forming inverters to enhance grid flexibility, reliability and stability. • Apply machine learning and AI tools for the battery system health estimation
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processes such as membrane distillation to achieve the desired recovery. The work will be as part of the European project BeyondBattRec (https://www.beyondbattrec.eu/ ) that involves 12 industrial, academic
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funded by the CAPeX Pioneer center (https://capex.dtu.dk/ ). The project involves design, synthesis, characterization, and testing of molecular transition metal coordination compounds, as electrocatalysts
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protocol on certain terms of employment of academic staff at universities (only in Danish). Where to apply Website https://aau.varbi.com/en/what:job/jobID:867724/type:job/where:39/apply:1 Requirements
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Applications are invited for a postdoctoral position in the group of Dr Aleksandr Gavrin ( https://mbg.au.dk/a-gavrin/ ) at the Department of Molecular Biology and Genetics, Aarhus University
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work 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
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more about career paths at DTU here . Further information Further information may be obtained from Professor Wei Yan at DTU Chemistry, tel.: +45 2245 0662, email: weya@kemi.dtu.dk , website: https