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at Region Västra Götaland. The Ph.D. position will be supervised by Professor Philip Gerlee with diverse interests in the field of mathematical biology. The position will be co-supervised by Dr. Jon Edman
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in learning more? Read about Umeå university as a workplace The Department of Mathematics and Mathematical Statistics is opening a PhD position in Computational Sciences within the national Data-Driven
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. The position is interdisciplinary and combines mathematics and computer science with applications in biology in medicine. A substantial part of the research will therefore be done in close collaboration with
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. The position is interdisciplinary and combines mathematics and computer science with applications in biology in medicine. A substantial part of the research will therefore be done in close collaboration with
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masters’ degree (or equivalent) in computer science, bioinformatics, biostatistics, mathematics, systems biology or another relevant life science or related fields. Knowledge of R and/or Python programming
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must hold an M.Sc. degree in a relevant field, such as data science, bioinformatics, mathematical statistics, mathematics, computer science, physics or molecular biology (obtained latest October 1, 2024
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to Antaros Medical At Antaros Medical, we combine ground-breaking imaging with profound experience in drug development and deep knowledge of disease mechanisms. We are specialized in cardiorenal & metabolic
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biology and stem cell research at Adameyko lab (Karolinska Institutet, Stockholm, Sweden). This position is a part of SciLifeLab & Wallenberg National Program for Data-Driven Life Science (DDLS) and will
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learning models of the molecular networks within cells, aiming to enhance treatment efficacy and contribute with new discoveries in cancer biology. Our models cover metabolism, signaling, and gene regulation
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cells, aiming to enhance treatment efficacy and contribute with new discoveries in cancer biology. Our models cover metabolism, signaling, and gene regulation, and we train them on extensive high