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candidate will join the Scientific Machine Learning group at TDB and SciLifeLab. The group develops theory, methods and software for data-driven science, with a current focus on uncertainty quantification
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Machine Learning group at TDB and SciLifeLab (Associate Professor Prashant Singh), which develops methods and software for simulation-based inference, generative models and robust machine learning, together
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to collaborative projects / grant writing. The Barriga lab are a multidisciplinary group combining biology, physics and chemistry to advance our understanding of biological processes with a specific focus on
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alternative splicing, depending on the interests and expertise of the applicant. The successful candidate will join a growing collaborative research group, who works closely with researchers in the Department
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research group funded by the Data-driven Life Science Fellows (DDLS) program. Led by Wei Ouyang, the group builds next-generation AI systems for cell and molecular biology. Data-driven Life Science Fellows
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basic research with clinical applications. This position is recruited within Patrick Sandoz’s research group at the Division of Biomedical Engineering. As a member of the group, you will play a key role
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Do you want to contribute to improving human health? Description of the research group Alpha Cell is a new SciLifeLab strategic program aimed at building the first molecular-level computational
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well as a highly collaborative research environment. For more information about Nathaniel Street’s research group, see: https://www.umu.se/en/staff/nathaniel-street/ Project description Establishing robust