1,732 computing-"https:"-"https:"-"https:"-"OsloMet---storbyuniversitetet" Postdoctoral positions
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, Computer Science, Engineering, or a related field The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates
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Participate in teaching and supervision activities, in line with the candidate’s profile and interests The research activities will be hosted by the Parallel Computing and Optimisation Group (PCOG) at SnT
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of study, both on a computer and aboard ship, as assigned. Prepares technical reports and scientific papers for publishing. Maintains and applies a substantial knowledge of state-of-the-art observations
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and impactful research into intrinsic motivation, with a particular focus on building computational theories that predict human behaviour in the absence of extrinsic rewards, and testing them using
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benjamin.devauchelle@pasteur.fr in Cc. The candidate should have a PhD in Human Genetics and the following skills: Strong interest in the field of genetics, neurobiology and psychiatry. Computer skills: strong level in
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Engineering Resilience) Laboratory and become part of an interdisciplinary research team conducting research at the convergence of multiscale computational mechanics, civil infrastructure resilience and digital
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faculty working on questions related to the ecology, evolution and conservation of biodiversity throughout the world, while the associated Interdisciplinary Program in Ecology and Evolutionary Biology links
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platform for launching an independent academic career focused on AI and the future of scientific practice. Responsibilities Build and maintain computational data pipelines to collect and structure evidence
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collaboration. Department/Program & College Description: At VDPAM, we lead the future of food animal and population medicine. As a global center of excellence, we are recognized for our expertise, valued for our
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to treatment. We are seeking highly motivated individuals to develop and implement innovative computational approaches for analyzing high throughput genomic and epigenomic data, including but not