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multimodal data, enabling early detection and personalised interventions in clinical neuroscience. The candidate will take the lead on machine learning and computational analyses, primarily supporting our
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and wave-equation–based modeling, including familiarity with adjoint-state methods, gradient-based optimization, and multi-scale inversion strategies. Proven expertise in machine learning and deep
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position within a Research Infrastructure? No Offer Description As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity
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avian influenza (HPAI) airborne transmission between U.S. poultry facilities. The primary focus of this opportunity will be learning to develop statistical and mathematical models to assess airborne
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the Department). The position is financed by the University of Bergen. About the project/work tasks The PhD project aims to investigate how methods from Scientific Machine Learning (SciML) can enhance modelling
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Informatics (DBMI) at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Research Fellow with experience in machine learning and scientific programming. The candidate will work with a multi
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, such as, geometric/topological/algebraic data analysis, geometric/topological deep learning, Math for AI, categorical deep learning, sheaf neural networks, PINN/KAN models, neural operators, etc, and
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care for HIV, PEP/PrEP, hospice and palliative care, homeless/marginally housed populations, rural populations experience, mental health and public health/harm reduction. The Fellow will learn to collaborate
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care for HIV, PEP/PrEP, hospice and palliative care, homeless/marginally housed populations, rural populations experience, mental health and public health/harm reduction. The Fellow will learn to collaborate
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conducting research at Hanken to apply for Marie Skłodowska-Curie Postdoctoral Fellowships. Marie Skłodowska-Curie Postdoctoral Fellowships (MSCA PF) target researchers holding a PhD who wish to acquire new