34 algorithm-development-"University-of-Surrey" Postdoctoral positions at Aarhus University
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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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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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has opportunities to thrive, 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
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collaboration with business and industry, and numerous researchers from the department have established companies to develop new medicinal treatments founded in professional scientific basic research. You can
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to assess stakeholder needs, create PV-integrated sensors to monitor agriculture-specific stressors, model stress impacts on PV performance, and develop innovative PV tracker controls. These elements will be
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foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants. Research activities will be evaluated in
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researchers. The successful candidates for these positions will join our team for further advances in this area and either focus on defining a climate breeding objective or developing a climate index. The work
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Are you interested in green energy, and do you want to contribute to the development of the future technologies for the green transition? At the Department of Biological & Chemical Engineering (BCE
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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