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, SciLifeLab develops and maintains unique research infrastructure, services and data resources for life science. The overall aim of SciLifeLab is to facilitate cutting-edge, multi-disciplinary life science
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, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between PhD candidates, researchers and
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, the cores of the systems’ reasoning engines typically remain ‘symbolic’ (knowledge-based). These symbolic or neuro-symbolic software systems are of high practical complexity, which makes them difficult
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microscopy ( cryo-EM) and tomography. As Staff scientist you are part of an EM technical and application team working with national research infrastructures at Umeå Centre for Electron Microscopy (UCEM