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statistics, engineering physics, physics, machine learning, or in a similar subject, or have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including
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computer science, image analysis and machine learning, engineering physics, data science, applied mathematics, molecular biotechnology engineering, or another related field; or Have completed at least 240
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conformational transitions induced by ligand binding, cofactors, metabolites, stress, or post-translational modifications. While recent deep-learning methods such as AlphaFold have transformed protein structure
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, engineering physics, physics, machine learning, or in a similar subject, or have completed at least 240 credits in higher education, with at least 60 credits at Master’s level including an independent project
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temporary, 10 months, with placement at the Institute of Biomedicine. First day of employment as agreed. Contact information for the post If you have any questions about the position, please contact Dr. Joan
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Institutet, KTH Royal Institute of Technology, Stockholm University and Uppsala University. The center also collaborates with several other universities. Data-driven life science (DDLS) uses data
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a part of the selection process. We ask all candidates to upload a CV, diplomas, course transcripts and to enter the names and e-mail addresses of at least two references. You are welcome to submit