22 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"Fraunhofer-Gesellschaft" Postdoctoral positions at University of Lund
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Information Technology conducts broad research in cryptography, computer security, wireless and wired networks. The Security Group has around 20 members. The main research areas are cryptography, privacy, and
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links between dynamics, catalysis and function in protein tyrosine phosphatases, using the tools of computational biophysics. Our research group is highly interdisciplinary, using everything from quantum
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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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Centre for Sustainability Studies (LUCSUS), in collaboration with Elina Andersson, Associate Professor at LUCSUS, and Hilary Faxon, Assistant Professor of Environmental Social Science at the University
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strategy for change. We complement social science expertise with that of plant breeding, agro-ecology, soil, and plant science. The successful applicant will be appointed for a two-year postdoctoral position
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on: Computational Natural History. The researcher will develop deep learning models to predict individual bee age based on wing morphology. This model will be trained of existing wing images and applied to images
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Sciences. At the division, we conduct research and education on the energy generation, conversion, and utilization in different electro- and thermo-mechanical systems where the study of heat transfer, fluid
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Therapy (MMGT) at the Biomedical Centre (BMC). MMGT houses labs with a variety of complementary expertise in stem cell biology and gene editing. More information on the lab can be found at leighnd.github.io
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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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position requires: A PhD (or equivalent) in fluid mechanics, mechanical engineering, applied physics, heat transfer, computational engineering, or a closely related field. The doctoral degree must be