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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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program! Project description Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures
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that change? Then join us in this unique program! About the position Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all
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that change? Then join us in this unique program! About the position Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all
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at http://ki.se/en/meb This PhD program is part of the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS). Data driven life science Data-driven life science (DDLS) uses data
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Uppsala University, Department of Chemistry – BMC A position as a researcher in the group of Prof. Ylva Ivarsson, in the research program of Biochemistry, on the topic of protein-protein
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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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information can be found at http://ki.se/en/meb This PhD program is part of the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS). Data driven life science Data-driven life science
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regulation, cell biology and computational systems biology. Additional projects and collaborations can build on other research projects and data sets in the lab, ongoing collaborative efforts, as