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interactions. We are looking for an enthusiastic and versatile postdoctoral researcher to apply existing bioinformatic methods and develop new pipelines to analyze and interpret high-throughput sequencing data
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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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2 Apr 2026 Job Information Organisation/Company École Normale Supérieure Department Physics Research Field Physics » Statistical physics Researcher Profile First Stage Researcher (R1) Positions
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of LHC data, based on solid C++ and Python expertise, is strongly appreciated. Ability to work in a large international collaboration is a must. Fluency in English, speaking and writing (B2 minimum) is
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FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria - PhD in Physics with strong interest for experimental physics. - Expertise in one of the followings: laser-plasma accelerators
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FieldEngineeringYears of Research ExperienceNone Research FieldComputer scienceYears of Research ExperienceNone Research FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria ‒ PhD
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17 Apr 2026 Job Information Organisation/Company CNRS Department Ecologie et dynamique des systèmes anthropisés Research Field Geosciences Biological sciences Researcher Profile First Stage
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Additional Information Eligibility criteria Training and experience: A PhD in Materials Science, Computational Chemistry, Physics, or a related field, with a strong background in DFT modeling and experience in
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audio, large datasets, and multimodal neural recordings (EEG, fMRI, intracranial) to develop models with a major goal of interpretability so that we may better understand the influence of complex, natural
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perturbation prediction, including the design and implementation of novel training strategies under experimental constraints, e.g., active learning and other data-efficient approachesConduct large-scale