39 algorithm-development-"Multiple"-"Prof"-"UNIS"-"University-of-Southampton" positions at Aarhus University
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funding affect the subsequent performance of firms and scientists, in terms of outputs such as the number of papers, products, patents, etc. (Can an optimal applicant template be developed by training
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system. Researchers with experience in neuroscience, microbiology and immunology are welcome to apply, but it is expected that you will span multiple of these fields once established in the lab. You will
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variability, and disturbances (e.g., droughts, floods, wildfires) influence carbon sequestration, GHG fluxes, and ecosystem stability in restored wetlands. Your work will contribute to the development of robust
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motivated candidate, who will develop and support projects at the intersection of soft matter physics and food science. The Postdoc position is part of the Food technology group at the Department of Food
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better and faster decisions when assessing funding applications, ensuring the efficient and unbiased elimination of poor applications? This question can be addressed through training algorithms on past
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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, we encourage
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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 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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involves software development, measurements using local and large international facilities, and a keen eye on developing relations between local order and material properties. The candidate must have a
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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