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medical applications. Federated Bayesian learning offers a solution to those problems by allowing multiple participants to train machine learning models collaboratively, without sharing any data. Bayesian
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contribute to the excellence of our academic community. We are looking for a postdoctoral researcher with expertise in Bayesian hierarchical spatio-temporal statistics and measurement error methods for a 3
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through the atmosphere. These models will be used, in Bayesian inference frameworks, to estimate surface fluxes from in situ and satellite observations. The derived emissions are used to track progress
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COMPIEGNECountryFranceCityCOMPIEGNE CEDEXGeofield Contact City COMPIEGNE CEDEX Postal Code 60203 E-Mail service.RH-recrutement@utc.fr Phone +33 (0)3 44 23 52 81 +33 (0)3 44 23 52 81 Fax sans objet STATUS: EXPIRED X (formerly Twitter
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COMPIEGNE CEDEX Postal Code 60203 E-Mail service.RH-recrutement@utc.fr Phone +33 (0)3 44 23 52 81 +33 (0)3 44 23 52 81 Fax sans objet STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share
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-recrutement@utc.fr Phone +33 (0)3 44 23 79 69 +33 (0)3 44 23 79 69 Fax sans objet STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket Viadeo Gmail Weibo Blogger
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60203 E-Mail service.rh-recrutement@utc.fr Phone +33 (0)3 44 23 79 69 +33 (0)3 44 23 79 69 Fax sans objet STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket
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60203 E-Mail service.RH-recrutement@utc.fr Phone +33 (0)3 44 23 52 81 +33 (0)3 44 23 52 81 Fax sans objet STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More share options E-mail Pocket
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networks, Bayesian inference, computational neuroscience, mathematics.
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learning, Large Language Models, Stochastic optimization, Transfer & Evolutionary optimization, Bayesian optimization for complex design in material and engineering. Key Responsibilities: Collect relevant