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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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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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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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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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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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at the NUS Business School, Department of Analytics and Operations. The research fellow’s primary duty involves conducting research, including model development, theory building, data analysis, and possibly
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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
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Health Agency (DHA) Public Health access and interact with critical data. By leveraging the power of large language models (LLMs), this system will translate user queries into executable code, eliminating
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implement a framework to infer anisotropic viscosity from both ice and mantle textures in a numerical flow model. This will open new avenues for understanding solid earth and cryosphere dynamics, and their