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phenotypes. In this PhD you will address this by a deep learning model of drug responses in cancer. The PhD position focuses on predicting cell type-specific drug responses, identifying transcriptional
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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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PhD and master’s students Successful record of grant writing and funding acquisition Proven track record of producing high-quality research Fluent in written and oral English, necessary to collaborate
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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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predictive binding models by performing high-throughput and quantitative biochemical binding measurements across hundreds of thousands of sequence variants. We are seeking PhD candidates with strong and
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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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School of Engineering Sciences at KTH Project description Third-cycle subject: Biological Physics We are looking for a motivated student interested in biophysics and live-cell imaging to join the
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of full-time education at third-cycle level for four years. Location: Sahlgrenska Academy, Institute of Biomedicine, Department of Medical Biochemistry and Cell biology. Extent: 100%. First day of
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Biochemistry and Cell biology. Extent: 100%. First day of employment: as agreed. The University applies a local agreement on salaries for doctoral students.
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School of Engineering Sciences at KTH This 6-year SciLifeLab Fellow position comes with a generous starting package of 18 MSEK, providing ample resources to establish an independent research group