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analyses is beneficial Expertise in machine learning and Bayesian statistics is beneficial What we offer: Work on a scientifically exciting, socially highly relevant, and globally visible ERC Synergy Grant
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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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Sklodowska-Curie Doctoral Network linking 21 academic, cultural, and industrial partners to develop advanced nondestructive evaluation and data-driven digital tools for paintings and 3D artworks (https
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Studies (CCSS), where you will interact with researchers working on a broad range of complex systems. Where to apply Website https://www.academictransfer.com/en/jobs/359824/phd-position-in-statistical-phy
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medicine and diagnostics, epidemiology and biology of infection. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ The future of life science is data-driven. Will
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of the Loop: A Review of Bayesian Optimization, Proceedings of the IEEE, 104-1, 148-175, 2016. Where to apply E-mail pietro.congedo@inria.fr Website https://recrutement.inria.fr/public/classic/en/offres/2026
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French National Research Institute for Agriculture, Food and Environment (INRAE) | Toulouse, Midi Pyrenees | France | 12 days ago
conferences. Supervision Dr Arthur Kocher (IHAP; MPI-EVA) is the PI of the EpidemioCene project . He studies human and animal disease ecology and evolution using molecular approaches combined with Bayesian
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modelling: -Weighted PINNs, -Bayesian PINNs, -Stochastic PINNs, -Ensemble PINNs, -Domain-decomposition PINNs. Selected approaches will be tested within a dedicated data-assimilation framework
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stimulated luminescence (OSL) dating of sediments and rocks, palaeoseismology, megaliths, Bayesian chronological modelling, archaeoseismicity, stable continental regions (SCR), Armorican Massif. Context and
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“Bayesian Enhanced Tensor Factorization Embedding Structure (BETTER)”, and this PhD project specifically aims at developing a unified, scalable, and interpretable framework for tensor analysis. Specifically