41 algorithm-development-"Multiple" "NTNU Norwegian University of Science and Technology" Postdoctoral positions at Aarhus University in Denmark
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The Department of Biomedicine at Faculty of Health at Aarhus University invites applications for a position as Postdoc in the field of Cancer immunology/multiple myeloma as per 1 December 2025 or as
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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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postdoctoral position in methods development and analysis of multi-omics and clinical data for inflammatory skin diseases. The start date is October 1st, 2025, or as soon as possible thereafter. Research context
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the field of environmental analytical chemistry and will focus on technical and conceptual developments in non-target screening , primarily of per- and polyfluoroalkyl substances (PFAS) . Building on previous
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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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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