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research group (led by Prof. Vicenç Torra) conducts research in data privacy for data to be used for machine and statistical learning. It is well known that data can be highly sensitive, and that naive
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-Interaction” within the WASP project, led by Assoc. Prof. Zoe Falomir. The position is full-time for two years, starting in spring 2026, or as agreed. Department of Computing Science For our department
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of Computing Science while also engaging with the research environments at the Department of Informatics. The project is led by Dr. Jason Tucker (AI Policy Lab), Dr. Pedro Sanches (Informatics), and Prof. Dr
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to humans and are accessible to algorithmic techniques while neural models are adaptive and learnable. The aim of this project is to develop models which combine these advantages. The project includes both
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continuously, and that the position can be filled prior to the deadline. Contact information For questions, please contact Prof. Ludvig Edman (email: ludvig.edman@umu.se ) or Dr. Christian Larsen (email
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secondment is to the group of Prof. Kemerink at the University of Heidelberg, Germany, for the simulation and identification of organic p-n junction doping structures for efficient emission. The second
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electron microscopy (CLEM). BICU is part of a distributed National Microscopy Infrastructure (NMI):a Swedish infrastructure funded by the Swedish Research Council (VR-RFI) and cofinancing from
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analysis of complex, longitudinal, and high-dimensional data (e.g., immunometabolic profiles, clinical data, biomarkers). Development and application of predictive models and algorithms for diagnostics
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diversity, and therefore particularly encourages women and those outside the gender binary to apply for the position. For additional information, please contact Assoc. Prof. Johanna Björklund (johanna
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questions include automated modeling and model simplification/refinement supported by generative AI, system identification, and 3D reconstruction algorithms. Additionally, the research involves developing