10 computer-security-"https:"-"https:"-"https:"-"https:"-"Leeds-Beckett-University" Postdoctoral positions at University of Lund
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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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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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conditions that encourage personal development and inclusion for all co-workers. We care deeply about both physical and safety and the psychosocial work environment. We offer Lund University is a governmental
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, research on new cell concepts and cell manufacturing, battery systems and system integration, recycling, and safety. At Lund University with the Faculty of Engineering (LTH), COMPEL is a strategic initiative
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cluster is part of The Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS), which is a national research program in Sweden. The vision of WASP-HS is to foster novel
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on immunoglobulin VDJ single-cell sequencing, next generation sequencing, antibody repertoire studies including use of computational analysis pipelines, recombinant antibody production, and immunochemical analysis
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has aimed to develop a two-part research programme. The first part focuses on developing and applying methods for 3D digital modelling, ranging from the collection of digital data from archaeological
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molecular structures capable of transferring electrons and interacting with light. Such assemblies also have applications in biomedicine. The primary objective is to develop computational methods, using deep
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several industrial and academic partners. The candidate will work with high-performance computing resources (NAISS) and advanced CFD tools, primarily OpenFOAM, with the possibility to use Nek5000 or LBM
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strategies. The research group focuses on exploration of tumor immune microenvironments through spatial omics and imaging, development of computational models for prediction of molecular and clinical features