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We are seeking a skilled and highly motivated postdoctoral researcher to become part of our research team. We study how the environment affects contemporary evolution and its predictability, using
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our research team. We study how the environment affects contemporary evolution and its predictability, using laboratory and field data of Trinidadian guppies. Global change rapidly alters species
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explored during your postdoc include: What are efficient machine learning strategies to identify large ensembles of nanoparticles in tomograms (i.e., to identify nanoparticles on irregular 2D surfaces in 3D
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treatment. Develop methods and models that can predict the course of the disease by analyzing detailed data on the immune system and metabolism. We are conducting a large study, the CoVUm study, involving 579
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experiments, and machine learning (ML) to understand and predict multiscale transport phenomena in fuel cell systems. In particular, the postdoc will bridge pore-scale simulations and macroscale performance
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researcher to join our research group for two years (https://dbojar.com/bojar-lab/ ). The successful candidate will perform biochemistry assays, protein engineering, AI, and data science to predict protein
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(ACL) and other knee-related injuries. You will integrate and analyze large-scale clinical registry data in close collaboration with Sahlgrenska University Hospital, aiming to create predictive
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Battery Systems as well as the COMPEL partners. The aim of the postdoctoral project is to develop next generation simulation methodology to predict thermal runaway on the cell level. The combustion and gas
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integrate and analyze large-scale clinical registry data in close collaboration with Sahlgrenska University Hospital, aiming to create predictive, interpretable, and clinically actionable models
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, physics), as well as research groups and large-scale facilities across Europe. The work will be guided by chemical heuristics in combination with theoretical predictions from symmetry analysis, electronic