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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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to drive the project, including assisting in the supervision of undergraduate students. In addition, the postdoc is expected to keep record of the obtained data, as well as maintain rigorous documentation
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Are you interested in neuromorphic spintronic and can you contribute to the development of the project? Then the Department of Electrical and Computer Engineering invites you to apply for a one year
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spatially explicit process-based ecological model (DEB-IBM) for muskoxen in the high-Arctic through the analyses of long-term GPS and acceleration data. using the model to estimate the (cumulative) impacts
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, creating CRISPR engineered cell lines, generating NGS data, including high-quality ChIP-seq data. The candidates with experience in both wet lab and bioinformatics will be able to do both (i.e. work in the
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departments. Contact information For further information and scientific enquiries please contact Dr Aleksandr Gavrin ( agav@mbg.au.dk ). Deadline Applications must be received no later than 30 January 2026
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refer to http://mbg.au.dk/ for further information about The Department of Molecular Biology and Genetics and to https://nat.au.dk/ and http://www.au.dk/ for information on Faculty of Natural Sciences
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Montesi (fmontesi@imada.sdu.dk ) for more information. Hosting environment FORM is embedded in the Section of Artificial Intelligence, Cybersecurity, and Programming Languages (ACP) , an elite cluster
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environment focusing on integrating multi-source satellite remote sensing data and developing novel algorithms to quantify agroecosystem variables for environmental sustainability. You will focus on processing
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as well as collecting and analysing NMR data for protein structure, interactions and dynamics. The project is shared with the group of Haribabu Arthanari at Harvard Medical School. You will have many