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will be expected to dedicate your time develop a high-biofidelity, high-resolution computational rat model with dual applications: i) advance the mechanistic understanding of brain injury by linking
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of the agreement on fixed-term employment as a postdoctoral fellow. More information about the group's research can be found on our website https://www.umu.se/en/research/groups/physiology-of-cortical-microcircuits
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responsible for creating and refining computational models that simulate hydrogen, ammonia, and methanol combustion in internal combustion engines and gas burners. Data Analysis and Interpretation: You will
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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of myocarditis through a systems medicine approach. By integrating data from genomics, virology, immunology, metabolomics, and microRNA analyses, all derived from well-characterized patient cohorts, we aim
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national and international research groups, edits one of the major journals on data privacy (Transactions on Data Privacy), and has active links with the private and public sectors. For more information see
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networks are controlled, to develop predictive models of methane cycling in northern rivers. This postdoc position will focus on assessing how stream methane emissions are linked to permafrost thaw, using
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career and as an opportunity to further deepen and broaden research expertise. Instructions on how to apply For more information and documents/templates/europass link, please visit https
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This multidisciplinary position is part of a WASP NEST (Novelty, Excellence, Synergy, Teams) project focused on advancing generative models and perceptual understanding in computer vision. The
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climate conditions, ecology and human mobility. There is a collaborative link between Umeå University and Lund University. Description of duties The postdoctoral researcher is expected to engage in advanced