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Field
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the national Data-Driven Life Science (DDLS) program. About the position and the project As an industrial PhD student, you will be employed by the startup company PredictMe AB while being formally enrolled as a
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. No more than 10 scientific publications and no more than 5 materials intended to convey knowledge, such as textbooks, computer programs for teaching, or popular science articles Two references, at least one of
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studies. About the DDLS program Data-driven life science (DDLS) combines data, computational methods, and artificial intelligence to study biological systems from molecular structures to human health and
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training in: genome biology and evolutionary genomics population genetics and conservation genomics computational analysis of large datasets The work will primarily be computational in nature, requiring
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Description The Faculty of Health, Science and Technology is accepting applications for the position
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position is part of the national research programme DDLS. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels
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collaboration, we create solutions that connect materials to mobility, ideas to impact – shaping a resilient and sustainable world. In the division of Computational Mechanics and Materials Engineering we foster
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and written communication in English, able to work independently as well as in collaboration with others, and be highly motivated. Meritorious A degree in bioinformatics, computational biology, (bio
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. Meritorious A degree in bioinformatics, computational biology, (bio)statistics, (applied) mathematics, computer science, or a related field; candidates from other fields with strong programming/coding skills
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Computer at Chalmers (QC2) group which is part of Wallenberg Centre for Quantum Technology (WACQT), a long-term initiative aimed at advancing Swedish quantum technology. You will be part of large team