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knowledge integration, likelihood frameworks, sampler configuration and performance, convergence diagnostics, and posterior predictive checking. Contribute to the design, implementation, testing, and
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model predictive control, machine learning, or reinforcement learning. Experience with IoT, edge computing, and cloud integration. Proven ability to contribute to research funding proposals
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clinically relevant predictive models. The lab also maintains extensive collaborations with experimental and computational scientists across multiple academic, industry, and government partners. Trainees
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, and OFOS footage. The successful candidate will process and interpret hydroacoustic data, develop AI-supported predictive models for hydrothermal occurrence, and translate these into scientific
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natural laboratory to advance predictive mineral system models. Our research will aim to improve the geological understanding of VMS mineral systems to constrain the formation and preservation of these
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clinical data science, contributing to projects that leverage cutting-edge multi-omic datasets to develop predictive models of therapy response and identify clinically actionable biomarkers. Beyond
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than 500 prototypes through multi-omics, sensory analysis, life-cycle assessment and safety testing. Predictive models for flavor, texture, nutrition and process scale-up are trained iteratively
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characteristics of their physical counterparts, enabling predictive maintenance, optimization, and improved decision-making in various industries like manufacturing, construction, and urban planning
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translate process parameters into predictive models linking fiber architecture, matrix rheology, and printed part quality, and explore reduced-order modelling approaches to accelerate simulations for
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 14 hours ago
newly formed CDC -funded national network of centers of excellence for outbreak analytics and disease modeling, named Insight Net. This position’s efforts will focus on developing predictive and