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advertisement Job description Integreat - the Norwegian Centre for Knowledge-driven Machine Learning at the University of Oslo invites applications for a doctoral research fellowship. The PhD candidate will work
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development projects. The work as a PhD student in Machine Elements is mainly experimental, which requires good practical skills as well as detailed knowledge of tribology, tribological tests, surface analysis
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student in Machine Elements is mainly experimental, which requires good practical skills as well as detailed knowledge of tribology, tribological tests, surface analysis and material characterization
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to demonstrate documented proficiency in English. You have knowledge and expertise in computer vision and/or medical image analysis, deep learning as well as mathematics. You have substantial expertise in
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vision, machine learning, deep learning, bioinformatics, advanced microscopy, cell biology, or RNA biology. Education in mathematical statistics. Experience in deep learning, computer vision, or neural
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Are you interested in developing new image analysis and machine learning methods for cancer diagnostics and clinical decision support? Would you like to work in a multidisciplinary team together
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Dutch), cognitive modeling of human problem solving processes, mechanistic interpretability in AI-models, as well as extensive computer programming experience in R and Python. Given that the project lies
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well as machine learning techniques, is central to our mission: Development and application of advanced simulation techniques to explore and identify the fundamental structures and mechanisms occurring in
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us as soon as possible. Keywords: AR/XR, human-computer interaction, information visualization, data storytelling, geospatial data, graphical perception, cognitive psychology, social cognition
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Desirable skills - Experience with numerical simulation tools (e.g., COMSOL, CFD frameworks) - Knowledge of machine learning, especially PINNs or scientific ML - Experience with particle-based simulations