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Field
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optimization-based updates (e.g., stochastic gradient methods and Bayesian learning), Probabilistic performance guarantees, leveraging tools from stochastic systems, RKHS-based learning, and Bayesian inference
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Bayesian prediction models with uncertainty quantification for trustworthy personalized treatment decisions in the T-PRESS Evidence Ecosystem Framework”. The primary objective of the T-PRESS consortium is to
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real-world field data. The central research question of this thesis is: How can Extreme Value Theory (EVT) and Bayesian Networks (BN) be coupled to build a predictive and dynamic model of NaTech risk
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energy supply systems, multi-objective and stochastic optimization, advanced statistical analysis, and data visualization. This position offers the opportunity to work with a multidisciplinary team of
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farms coexist alongside intensive fishing activity and a wide range of maritime uses. The objective is to analyse how the effects of wind farms at the individual level (e.g. fish, marine mammals) and at
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Sustainable Healthcare Decisions. About the project The fellowship period is 3 years and devoted to carrying out a project entitled “Reliable Bayesian prediction models with uncertainty quantification
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to maintain high label efficiency in non-stationary environments, supported by reproducible benchmarks and principled evaluation protocols. Key Objectives O1: Drift-aware querying: Develop acquisition functions
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, Ifremer, University of Montpellier, CNRS) and one secondary institution (INRAE). Its research activities are organized around six objectives defined in response to societal challenges related to marine
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manner, in order to achieve the accuracy of high-fidelity simulations while maintaining computational tractability. This is the objective of multi-fidelity modeling. This PhD position is funded through
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Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case of dynamic sequential inference