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Computer science laboratory of Le Mans Université (LIUM) | Laval, Pays de la Loire | France | 6 days ago
and support visual search strategies for objects in a virtual environment. The PhD focuses on: Adaptive generation of activities through approaches inspired by Bayesian methods, Exploitation
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environmental stressors across a species’ geographic range and through time. The post holder will develop a new Bayesian model, MESS, to analyse the dynamics of extirpation. The MESS model will adapt
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on cognitive diagnostic assessments and student learning in introductory STEM courses, with a focus on Bayesian quantitative methods and mixed-methods education research. Position Number 4C1852 Department
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and propagate uncertainty from image features to predicted PEMWE behavior. Bayesian experimental design and process optimization. The digital twin will form the basis for Bayesian optimization
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simulation results with experimental data. This project will integrate advanced AI techniques, including machine learning for parameter optimisation (e.g., Bayesian optimisation, reinforcement learning), AI
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, Bayesian methods) to behavioral and neural data. Assist with pharmacological and neuromodulation study protocols. Prepare and submit manuscripts for peer-reviewed publication. Contribute to grant writing and
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modelling. Bayesian fusion/inference methods will also be integrated for state estimation, uncertainty quantification, anomaly detection, remaining-life prediction and operational optimisation. Research aims
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FieldAstronomyYears of Research ExperienceNone Additional Information Eligibility criteria - PhD in astrophysics or a related field. - Experience in data analysis. - Proficiency in Bayesian statistics and nonparametric
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the DFG-funded research project ICEBAY, which focuses on Bayesian hierarchical modeling and probabilistic inference for temperature reconstruction by combining borehole thermometry and ice-core data. The
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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