84 algorithm-development-"Multiple"-"Simons-Foundation" "Prof" positions at Aarhus University
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standard fine-tuning. Key research objectives include: Developing efficient algorithms: exploring and designing training strategies (e.g., supervised finetuning, reinforcement learning, or new alignment
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headed by Prof. Henrik Birkedal uses a broad selection of tools with special emphasis on X-ray imaging techniques and diffraction, both done in house and at synchrotrons. Our research group uses a variety
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; Collaborating closely with the ENGREENIT’s PhD candidate (starting 12 months later than the PostDoc researcher), supervised by the Assoc. Prof. Emil Dražević, and will jointly develop the heterogeneous
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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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The Department of Business Development and Technology, Aarhus University, is looking for an experienced Project Manager (academic employee) who can assist on a range of research projects
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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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stakeholder engagement and co-development activities for an international research project, PERA (https://projects.au.dk/sess/projects/pera-efsa ). The project aims to develop a knowledge exchange platform for