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Responsibilities We are looking for a highly motivated Postdoc in the areas of Probabilistic Machine Learning and Neuro-Symbolic AI to contribute to the Cluster of Excellence “Bilateral AI (BilAI),” funded by
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Description Your Responsibilities We are looking for a highly motivated PhD student in the areas of Probabilistic Machine Learning and Neuro-Symbolic AI to contribute to the Cluster of Excellence “Bilateral AI
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2026 Interviews: TBC (online) Start date: September 2026 Project Title: AI-Enhanced Battery State of Health Estimation Using Ring Probabilistic Logic Neural Networks Director of Studies: Prof Shahab
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., stochastic gradient methods and Bayesian learning), Probabilistic performance guarantees, leveraging tools from stochastic systems, RKHS-based learning, and Bayesian inference to certify performance and
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at finale.seas.harvard.edu and our group’s webpage https://dtak.github.io/ We work on probabilistic models, reinforcement learning, and interpretability + human factors. Basic Qualifications Candidates are required to have
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, mostly tailored to the case of dynamic sequential inference and probabilistic recommender systems. The position is connected to the project “Bayesian Rank-based unsupervised Integration of multi-source
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Rhodes (I2M, Aix-Marseille University), the research program "Geometric and Probabilistic Aspects of Conformal Field Theory." The post-doctoral researcher will support and coordinate the scientific
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possibilistes, donc ni déterministes ni probabilistes, permettant d'explorer l'ensemble des futurs possibles. Ces modèles, déjà éprouvés sur des socio-écosystèmes locaux et actuels, seront adaptés à l'échelle
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Hours of employment per week: 40h Responsibilities: This position involves applying and adapting probabilistic inversion approaches that integrate seismic data with well log and core data, as
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Job Description Are you an established researcher in probabilistic machine learning, with a passion for developing robust, trustworthy, and explainable AI methods for applications in science and