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Description The overarching mission is to conduct research combining machine learning, data assimilation, and physical modeling to enhance short-term (days/weeks) forecasts of Arctic sea ice conditions. The
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skills, to equip them for careers in the medical technology sector and its underpinning research and innovations. In the proposed PhD project, you will study the role of the main glycosaminoglycans in
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Sklodowska-Curie programme apply, including the mobility rule and the PhD rule: Mobility rule: Researchers must not have resided or carried out their main activity (e.g., work, study) in the country
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FieldPhysicsYears of Research ExperienceNone Additional Information Eligibility criteria Knowledge / Academic Background • PhD in plasma physics, space physics, planetary science, or an equivalent discipline
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Information Eligibility criteria Applicants should hold a PhD in theoretical chemistry, physics, materials science, or a related field; -demonstrate strong expertise in machine learning (regression, neural
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, volatiles solubility in magmas or the formation of magmatic-hydrothermal ore deposits. More information can be found under the following link: https://www.isto-orleans.fr/ The PhD project is also part of
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FieldTechnologyYears of Research Experience1 - 4 Additional Information Eligibility criteria -A PhD degree in materials science and electrochemistry, particularly in the field of electrochemical energy storage
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FieldEnvironmental science » Earth scienceYears of Research Experience1 - 4 Research FieldEnvironmental science » Global changeYears of Research Experience1 - 4 Additional Information Eligibility criteria • PhD in
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using neural networks (DNNs). The PhD work will focus in particular on the prediction of extreme weather events and will use meteorological data bases provided by Météo-France [py4cast, 2025; Anemoi 2024
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3 Mar 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Imagerie Biomédicale Research Field Mathematics History » History of science Researcher Profile First Stage Researcher