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well as of the cyclone family itself. The candidate will investigate the mechanisms by which moisture is drawn into and processed within cyclone families using reanalyses, idealised and realistic model simulations
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in USN’s PhD-program in within three months of accession in the position. About the PhD-project Carbon nanotubes (CNTs) are one of the most interesting nanomaterials due to their remarkable material
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The fellow will be responsible for: Building collaborations with our multidisciplinary team (medical physicists, engineers, computer scientists, nuclear medicine physicians) to develop and implement innovative
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devices, and edge computing platforms. Deploy machine learning models to enhance process control and system responsiveness. Collaborate with industry partners to identify research challenges, co-develop
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cancer prevention and control education; increase awareness and utilization of resources; and increase community participation in health and biomedical research. Our model is a community participatory
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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of immunology and RNA biology, and to carry out activities to develop our research expertise in mouse models, T cell immunity, molecular biology and multi-omics. You will collaborate within a multidisciplinary
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hydrologic and hydraulic models to quantify potential flood impacts in the study watersheds. The project is supported by the Department of Energy Resiliency Center program and will involve engagement
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for Computational Biology and Bioinformatics (CCBB), and multiple NIH sponsored multicenter programs including the Alzheimer’s Disease Genetics Consortium (ADGC), Alzheimer’s Disease Sequencing Project (ADSP
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Postdoctoral Fellow position focused on developing advanced, AI-enabled methods for clinical decision support in precision oncology. The fellow will work at the intersection of computational innovation