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and Marie Curie campus, in central Paris. The laboratory consists of approximately 90–100 researchers, lecturers, PhD students, and postdoctoral researchers, conducting research in the fields of energy
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of scienceYears of Research ExperienceNone Additional Information Eligibility criteria The successful candidate will hold a PhD in applied mathematics, and will have knowledge of PDE discretization methods such as
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or equivalent LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research Experience1 - 4 Additional Information Eligibility criteria • PhD in chemistry, physics, or related field • Expertise in
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numerical simulations of the climate and ice stability in the history of Mars in order to analyze data from the latest international space missions. The Phd advisor will be Frédéric Schmidt The Mars-MOSAIC
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of Research ExperienceNone Research FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria The candidate must hold a PhD in (electro-)chemistry, materials science, physics
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LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research Experience1 - 4 Additional Information Eligibility criteria Required qualifications: • PhD in experimental physics with a background in accelerator or plasma
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ExperienceNone Research FieldEnvironmental scienceYears of Research ExperienceNone Additional Information Eligibility criteria Required Expertise: • a PhD in experimental petrology is required • a scientific
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FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria We are looking for a colleague with a PhD in particle physics. Experience with machine learning and/or experience with
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services. The PhD student will carry out biodiversity surveys in 2 or 3 lowland regions (including Hauts-de-France) chosen by the team working alongside him/her, on 120 plots in plantations and, for
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sciencesYears of Research Experience1 - 4 Additional Information Eligibility criteria We are looking for a highly motivated Research Engineer (preferably with a phd) who is eager to integrate knowledge ranging