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. Your expertise includes machine learning techniques such as Bayesian optimisation, and you’re comfortable working with experimental data, high-performance computing environments, and (ideally) thin film
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including, but not limited to: Bayesian statistics, computational statistics, inverse problems, numerical analysis, probability, statistical machine learning, stochastic analysis, and uncertainty
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of biofouling processes in marine environments. This role will focus on developing and applying Bayesian statistical models to investigate and predict biofouling patterns to enhance our understanding of how
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some people develop long-lasting sequalae and how these the prognosis vary between phenotypes. Our goals are to: Identify different types of PCC in order to provide more tailored rehabilitation and
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company. The project has partners from five different EU countries. All, 15 PhD projects are within the overall theme of SiCOI devices and integration for applications in classic and quantum optical
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students at 5 universities and one company. The project has partners from five different EU countries. All, 15 PhD projects are within the overall theme of SiCOI devices and integration for applications in
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 7 days ago
of Biostatistics. Specifically, the position works on and provides oversight to several federal and industry research and training grants in the areas of casual inference, Bayesian methods, robust methods, frailty
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
of Biostatistics. Specifically, the position works on and provides oversight to several federal and industry research and training grants in the areas of casual inference, Bayesian methods, robust methods, frailty
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awareness of AI methods. Technical and mathematical skills required for such research, regardless of prior AI experience. Relevant mathematical backgrounds including, but not limited to: Bayesian statistics
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-dimensional statistics, semiparametric/nonparametric methods, change-point problems, signal processing, Bayesian statistics and machine learning. Candidates must have a PhD in Statistics, Biostatistics, or a