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Field
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Research Associates/Assistants to support a diverse portfolio of research projects at the intersection of infectious disease modelling, Bayesian inference, AI, and public health. Projects span AI-driven
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., stochastic gradient methods and Bayesian learning), Probabilistic performance guarantees, leveraging tools from stochastic systems, RKHS-based learning, and Bayesian inference to certify performance and
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perspective to fundamentally solve the central question: how should an observer act in an environment to actively uncover the goal of the agent? Required knowledge Proficiency in Programming, Bayesian
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. Participate in departmental, school and university-wide committees. The position minimum education requirements are Ph.D. in Statistics, Mathematics, or a related field. Possess research interest in Bayesian
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ESPCI Ecole supérieure de physique et de chimie industrielles de la ville de Paris (PSL) | Paris 15, le de France | France | about 1 month ago
Description Les techniques d'imagerie super-résolue permettent d'observer des objets avec une résolution à l'échelle nanométrique (~10 nm), bien en dessous de la limite classique imposée par la diffraction de
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for a Senior Research Fellow to help lead a vibrant, internationally connected research programme spanning Bayesian infectious disease modelling, AI-driven epidemic forecasting, genomic epidemiology, and
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description La croissance rapide de l'Internet des objets (IoT) a mis en
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models for high-dimensional and functional data ”, led by Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available
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advanced statistical analyses of large-scale longitudinal panel data, contributing to the development and testing of hierarchical Bayesian computational models, and producing research outputs for publication
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EMR data to address research questions in health outcomes, policy, and clinical and cost effectiveness. Develop and implement advanced statistical models, including Bayesian hierarchical models