21 learning-"https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at SciLifeLab
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gör Uppsala universitet till en av landets mest spännande arbetsplatser. Läs mer om våra förmåner och hur det är att jobba inom Uppsala universitet https://uu.se/om-uu/jobba-hos-oss/ Anställningen kan
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unions, or similar. Terms of the scholarship This scholarship is enabled by funding from The Carl Tryggers Stiftelse and the terms of the scholarship are regulated by the foundation (https
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have any questions about the position, please contact Dr. Joan Camuñas Soler, [email protected] Unions Union representatives at the University of Gothenburg can be found here: https://www.gu.se/en
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storskalig datahantering, samt webbapplikationer för forskargrupper och andra samhällsaktörer. Mer information om NBIS finns på https://nbis.se . Arbetsuppgifter Hos oss kommer du att arbeta med agil
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of Biophysics, Department of Applied Physics, studies the physical mechanisms of infection. We are based at KTH and SciLifeLab in Stockholm ( https://hannebellelab.org/ ). We are seeking a PhD student
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collaborative project L2Bridge, which is supported during five years by a donation ( https://www.lu.se/artikel/storsta-donationen-till-lunds-universitet-i-modern-tid) from the Berta Kamprad Foundation
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(National Bioinformatics Infrastructure Sweden: www.nbis.se ) to help shape and accelerate the adoption of advanced machine learning and AI in data-driven Life Science research. At the SciLifeLab
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and learning in higher education Completed training in teaching and learning in higher education, or equivalent knowledge, is an advantage. An applicant who has not completed at least 15 credits of
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following are requirements for the role: Strong programming and quantitative skills, particularly in Python and/or R. Experience in deep learning, machine learning, or large-scale omics data analysis. A
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biology, protein engineering, biochemistry. Building quantitative models: Using high-throughput binding data to build sequence dependent predictive deep learning models, and physical mechanistic models