273 linked-data-"https:" "https:" "https:" "University of St" Postdoctoral positions in Sweden
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in the research group for AI and society led by Stefan Larsson at LTH in Lund. The group focuses on social science-oriented but multidisciplinary issues linked to AI. The group collaborates e.g. over
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courses and grades, Copy or download links of doctoral thesis and up to three relevant articles, At least one signed letter of recommendation from referees who are qualified to assess the applicant’s
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Description of the workplace The postdoctoral position is linked to the Division of Clinical Chemistry at the Faculty of Medicine, Lund University. However, all work will be in close collaboration
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Intelligence (AI). For more info, please visit link . LUCI is well-established, with an extensive group of affiliated PhD-students, postdocs and more senior researchers from diverse disciplines, with a close
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recruiting an outstanding and ambitious postdoctoral researcher in computational biology to advance the integration and modeling of large-scale microscopy data using modern machine learning approaches
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several cancer research groups represented, including joint seminars and other collaborative activities. The group uses various data sources and modern techniques to improve predictive modelling, including
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technologies. The target chips include digital signal processors, radio frequency and millimeter wave frontends, data converters, as well as larger systems with a mixture of analog and digital signals. Our
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will also use focussed ion beam milling scanning electron microscopy (FIB-SEM) to prepare infected cells for in situ cryo-ET. The resulting tomographic data will be analysed by machine-learning assisted
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anaerobic culturing techniques (e.g. anaerobic chamber, bioreactor) and analysis of 16S sequencing data. Furthermore, practical experience in working with mouse models is required. Other requirements
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in radiotherapy with the goal of enabling fully adaptive radiotherapy. The work is based on deep learning, where models are trained on generated or clinical data. The project is carried out in