202 algorithm-development-"The-University-of-Edinburgh" Postdoctoral positions in Denmark
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Job Description If you dream about helping secure the green energy transition by developing technologies for power and energy system resilience, such as large-scale energy conversion and storage
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, achieve and develop. We view equality and diversity as assets, and we welcome all applicants. Research activities will be evaluated in relation to actual research time. Thus, we encourage applicants
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of national and international funded projects focusing on the development of next-generation technologies for sustainable energy systems. Our research spans: advanced power converter systems for Power
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Post Doctoral Researcher in Digital Twins CO2-to-Protein production in collaboration between the ...
collaboration between the Department of Electrical and Computer Engineering and the Novo Nordisk Foundation CO2 research center, Aarhus University, we aim to address this opportunity by developing digital twins
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-researched, and there is a need to develop methodology that can compare various methane-reducing additives and feed stuffs for their acceptability to dairy cows and their potential welfare risks in terms
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vitro assays for the development of atherosclerosis therapies”), which aims to develop the next generation of disease-relevant smooth muscle cell assays to bridge basic research and drug discovery
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collaboration between the Department of Electrical and Computer Engineering and the Novo Nordisk Foundation CO2 research center, Aarhus University, we aim to address this opportunity by developing digital twins
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collaboration. We also provide active support for developing courses, securing research funding (Danish and EU), and building a strong professional and academic network. Responsibilities You will co-lead the
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, open-source background checks may be conducted on qualified candidates for the position. DTU Civil and Mechanical Engineering develops and utilises science and technical knowledge for the benefit of
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experience in developing competitive national and international research applications Experience in programming languages (e.g. Python/R) and analytical skills in model evaluation Experience in advanced