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that will be affiliated with one of six possible multidisciplinary projects. The ideal postdocs will have expertise in some of the following areas: computational modeling, computational biology, computational
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leading to production and harvesting in the regulated countries moving to unregulated countries. The position is part of a joint research program between Swedish University of Agricultural Sciences (SLU
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-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven models for complex data, including high
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advanced wireless technology with innovative computing to shape the future of cloud computing in 6G communications systems. The department offers a collaborative and inclusive culture that promotes
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the following criteria: a Ph.D. or M.D./Ph.D. in computational biology, or in biomedical sciences with a strong computational focus; proven ability to think creatively and solve complex problems with
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a postdoc fellow at the AMBER programme you will get unprecedented medical, biological, and methodological capabilities, with a profound potential impact for Europe’s next generation of research and
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computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with opportunities for collaboration
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering
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postdoc fellow at the AMBER programme you will get unprecedented biological, and methodological capabilities, with a profound potential impact for Europe’s next generation of research and researchers. When
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northern Sweden create enormous opportunities and complex challenges. For Umeå University, conducting research about – and in the middle of – a society in transition is key. We also take pride in delivering