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ExperienceNone Additional Information Eligibility criteria • PhD in statistical genetics, bioinformatics, evolutionary genetics, or a related field (obtained or in progress) • Strong knowledge of statistical
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scienceYears of Research ExperienceNone Research FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria Degree : PhD in computer science, machine learning, or computational
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collaborate with ARCHIVES project partners to ensure coordinated progress and sharing of results. · Develop solutions combining numerical modeling, mathematical methods, and statistical/AI approaches
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- 4 Additional Information Eligibility criteria The applicant should hold a PhD in psychology, cognitive neuroscience, speech-language pathology, music cognition, or a related field. They should have
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) Recognised Researcher (R2) Positions PhD Positions Country France Application Deadline 3 Feb 2026 - 12:00 (Europe/Paris) Type of Contract Temporary Job Status Full-time Offer Starting Date 2 Mar 2026 Is the
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developing more complex coupling schemes. The aim is to improve the prediction of natural resources in sedimentary basins. The PhD must have been awarded no more than three years before the start of
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FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria - A PhD in mathematics/statistics/AI applied to ecological issues. - A strong publication record. - Proficiency in R and Python
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, intercultural and inter-institutional awareness as well as a spirit of team-work are prerequisites: PhD in educational sciences, social sciences or equivalent Strong knowledge of qualitative and/or quantitative
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modeling and simulation, and statistical inference (lead by mathematicians and biologists) - The recruited postdoc will be asked to work in the labs on a daily basis. - The recruited postdoc will be expected
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. Statistical analyses of these datasets in conjunction with hydrogeochemical data are also expected, with the goal of linking denitrification processes to hydrological, geological, and biogeochemical conditions