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Assistant professor in Computational biology -machine learning for multimodal molecular biology data
direct connection with NGI Stockholm. Subject field Computational biology with a focus on machine learning for multimodal molecular biology data. Subject description The subject covers the development and
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direct connection with NGI Stockholm . Subject field Computational biology with a focus on machine learning for multimodal molecular biology data. Subject description The subject covers the development and
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Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University Research at MBW experimentally addresses fundamental problems in molecular cell biology, integrative biology, and
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use both computational and experimental approaches across the disciplines of human genetics, functional genomics and molecular biology. In addition to the team at KTH, located at the SciLifeLab campus
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students. During the course of the DDLS program more than 260 PhD students and 200 postdocs will be part of the Research School. The DDLS program has four strategic areas: cell and molecular biology
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the first and second cycles of at least 90 credits in either, a) Chemistry/Molecular Biology/Biotechnology, or b) Computer Science/Mathematics/Physics and at the second cycle level, 60 credits in Life Science
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) experimentally addresses fundamental problems in molecular cell biology, integrative biology, and infection and immunobiology. State-of-the-art and advanced methodologies are applied in a professional research
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and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. For more information, please see https://www.scilifelab.se/data-driven/ddls
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manuscript writing. Requirements To qualify for an employment as a researcher you must have a PhD degree or a foreign degree equivalent to a PhD degree in biochemistry, structural biology, molecular biology or
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and molecular biology, evolution and biodiversity, precision medicine and diagnostics, epidemiology and biology of infection. For more information, please see https://www.scilifelab.se/data-driven/ddls