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functions are: - Parametric and nonparametric statistical inference - Probabilistic and statistical foundations of machine learning and data science - Statistical models for complex data. Where to apply
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measurements are most informative and guiding where, when and how to observe next. By combining Bayesian inference, probabilistic modeling, and machine learning, the project aims to make Arctic observations more
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-Saclay/CentraleSupélec http://em2c.centralesupelec.fr/ ), through its high-level academic research on energy and combustion and its applied studies in partnership with the most prominent companies
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-making process. Research Objectives Model Learning in Dynamic Contexts Investigate the use of reinforcement learning for constructing and updating probabilistic world models (transition and observation
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Analysis post which can be found at: https://www.jobs.ox.ac.uk/ using vacancy ID: 183243. Candidates who wish to be considered for both positions will need to apply for both posts. The successful candidate
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testing; iii) probabilistic analysis of experimental data; and iv) finite element model numerical simulation of mechanical behaviour. b) Must be author of at least five articles published in English in
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are also advertising a similar Postdoctoral Research Associate in Stochastic Analysis post which can be found at: https://www.jobs.ox.ac.uk/ using vacancy ID: 183243 . Candidates who wish to be considered
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seismologist with strong theoretical and computational skills to develop new probabilistic and physically informed approaches for seismic hazard assessment. The successful candidate will contribute to the next
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-making process. Research Objectives Model Learning in Dynamic Contexts Investigate the use of reinforcement learning for constructing and updating probabilistic world models (transition and observation
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of performing the test (including environmental costs). For more information on the project, see the EU announcement: https://cordis.europa.eu/project/id/101075556 ; and these podcast episode of the Fire Science