50 software-engineering-model-driven-engineering-phd-position positions at SciLifeLab in Sweden
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KTH Royal Institute of Technology, School of Engineering Sciences Subject field Biophysics. Subject description The subject area is biophysics with a focus on in vivo-mimetic technology and includes
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. The candidate will combine experimental and computational approaches. The project will start with bioinformatics-driven analysis, followed by integration of data generated from experimental models. Over time, the
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Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Chemistry, Department of Chemistry – BMC Postdoctoral position in Biochemistry The Department of Chemistry – BMC is
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approaches and research themes here: www.scilifelab.se/researchers/lisandro-milocco/ This project leverages the rise of data-driven dynamic modeling—from fluid dynamics to ecosystem studies—to uncover
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governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University’s rules and guidelines. About the employment The employment is a temporary position according
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. The future of life science is data-driven. Will you be part of that change? Then join us in this unique program! Project description This PhD student position is in the research team of Associate Professor
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instruments as well as scientific writing. Qualifications The requirements for the position are: Adequate university degree (e.g. MSc in molecular biology, biomedicine or equivalent) PhD from relevant research
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artificial intelligence based cellular models on the other hand. You should possess a PhD and research experience in a relevant area, both experimental and data driven research experience is considered
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quantify high-throughput binding data. Examples of suitable backgrounds: Optical engineering, hardware-software integration, image analysis. Building quantitative models: Using high-throughput binding data
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in technology driven life sciences. Lehtiö group is a translational group of scientists with a drive to improve human proteome analysis by developing new methods that can be applied to improve