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principles that permit us to build privacy-aware AI systems, and develop algorithms for this purpose. The group collaborates with several national and international research groups, edits one of the major
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writing scientific papers and communicating our research advances in conferences. Methods: programming a humanoid platform using ROS2 packages, solve SLAM, use imitation learning algorithms to learn pick
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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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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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questions include automated modeling and model simplification/refinement supported by generative AI, system identification, and 3D reconstruction algorithms. Additionally, the research involves developing
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of the project is to elucidate the fate, distribution, and degradation pathways of PFAS during thermochemical conversion of PFAS-containing biomass and waste feedstocks, and to assess their potential presence in
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organic pollutants are taken up, distributed, metabolized, and excreted in zebrafish. We have a particular interest in critical developmental stages, including early development and juvenile stages
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leadership assignments. During the first six years, 75% of the position is guaranteed to be dedicated to research. After this period, the distribution of duties may vary depending on the availability
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into how algorithmic systems influence the circulation of information and disinformation across digital platforms, and how such processes affect perceptions of credibility, truth, and democratic