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Ref. No. SU FV-1399-24 at the Department of Computer and Systems Sciences . Closing date: 9 May 2024. Department of Computer and Systems Sciences (DSV) is one of the oldest IT departments in Sweden
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been directly mapped. This PhD position at Stockholm University focuses on leveraging machine learning (ML) to identify errors in large bathymetric datasets and applying ML techniques like "super
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associated with the Wallenberg (DDLS-WASP) project Machine-Learning how our Cells Capture Energy - Data-Driven Studies of Membrane Protein Function, Evolution, and Disease. We are searching for a highly
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: www.scilifelab.se/data-driven . Project description The position will be associated with the Wallenberg (DDLS-WASP) project Machine-Learning how our Cells Capture Energy - Data-Driven Studies of Membrane Protein
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between these. There will be a strong focus on developing machine learning tools and novel molecular representations. Fundamental knowledge of machine learning and programming as well as molecular biology
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. In this project, we are recruiting additional Ph.D. student to leverage recent advances in machine learning to create better deep-learning models to predict protein-protein interactions and to apply
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culture, fluorescence microscopy, image analysis, mathematical modeling of dynamical systems, and machine learning is advantageous. Priority will be given to candidates with the overall highest experience
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approaches (QM/MM, molecular dynamics, free energy methods, machine learning). The PhD candidate will work closely with other PhD students, postdocs and senior scientists of the lab in an interdisciplinary
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approaches (QM/MM, molecular dynamics, free energy methods, machine learning). The PhD candidate will work closely with other PhD students, postdocs and senior scientists of the lab in an interdisciplinary
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seek a candidate with a keen interest in fundamental physics with technical aptitude in mathematical methods of theoretical physics, who is motivated to learn new skills and take part in developing new