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failures. We offer access to unique experimental data and computational tools developed by our research team for addressing a timely societally relevant problem. Project overview The aim is to unravel
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life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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located at the Uppsala Biomedical Centre campus. It belongs to the Faculty of Science and Technology and conducts research in biochemistry, organic chemistry, analytical chemistry, and physical chemistry
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postgraduate education in areas such as Information Processing Technologies, including Quantum Information and Computation, Optoeletronics, Physical Layer Security and Information Theory, Cybersecurity and
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, engineering physics, biomedicine, or similar Documented skills in data-driven analysis (machine learning using python with TensorFlow, PyTorch, or similar) and computational statistics Specific knowledge of big
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, probability theory, etc) A competence in quantitative topics equivalent to a mathematics, statistics, physics, computer science, or engineering degree is required (if your degree was not in one of these domains
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merits; Demonstrated experience of using computer programming languages (UNIX command line and R/python) for multi-omics data analysis. Experience in mentorship of students will also be a merit. Experience
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contribute to physical, psychological, and functional issues, as well as improper use of safety systems. Target groups include personnel in healthcare and social services, tradespeople in the service and
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for Oncology, Clinical Genetics, Clinical Immunology, Clinical Pathology, and Hospital Physics at Akademiska sjukhuset, Uppsala. The department has teaching assignments in several education programmes, including