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About us: The applicant will join the Wellcome-funded Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. The post will
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scientific discoveries explore and evaluate usability of system architectures such as Retrieval-Augmented Generation (RAG) for data retrieval and knowledge inference implementation of your machine learning
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to the lack of accurate models, machine learning-based problem solving is now revolutionizing almost every field of science and technology. FuturoChrom aims at developing model-free, purely reinforcement
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is linked to the ELLIIT project New Machine-Learning Methods for High-Dimensional, Population-Scale Health Data , conducted in collaboration with Lund University. The project aims to develop and apply
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relevant field. Proficiency in programming in Python and experience in PyTorch, Scikit-Learn or related modern machine learning libraries. Some working knowledge of using Anthropic/OpenAI APIs. Good writing
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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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application! Your work assignments Spatio-temporal processes are everywhere in science and engineering, with applications ranging from weather prediction to cardiovascular medicine. Developing machine learning
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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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applied mathematical modelling machine learning multi-fidelity modelling numerical methods. Demonstrated programming ability (MATLAB/Python/C++) and enthusiasm to learn PyTorch. Previous experience in one
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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