194 master-"https:" "https:" "https:" "https:" "Dublin City University" PhD positions in France
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https://emploi.cnrs.fr/Offres/Doctorant/UMR8523-ARNMUS-007/Default.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research
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PhD fellowship 2 – Alexander von Humboldt and French-German Networks in the Early History of Ecology
–2030), led by Principal Investigator Stefanie Buchenau. The project seeks to uncover the philosophical dimensions of ecology as introduced by Ernst Haeckel in his General Morphology (1866), and to assess
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strategies • Inform decision-making on combined climate interventions • Contribute to scientific and societal discussions on climate intervention approaches Candidate Profile: • Master's degree in climate
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two main parts: • numerical modeling of crustal stresses associated with the various proposed mechanisms; • statistical analysis of the impact of these stresses on faults, potentially active or not, and
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will contribute to the ERC-funded research project “Oecologie. The German Sources of Ecology” (ERC AdG, 2025–2030), led by Principal Investigator Stefanie Buchenau. The project seeks to uncover
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National Center for Scientific Research (CNRS), aims to expand knowledge of the chemical mechanisms responsible for inhibiting hydrogen flames. The main place of work is at the ICARE laboratory in Orléans
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Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The Machine Learning for Integrative Genomics team (https
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. The main objective of the PhD project is to study the impact of auroral particle precipitation on Jupiter's atmospheric composition. The work will involve modeling the abundances of key chemical species in
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expected to present his/her scientific findings at national and international conferences and to write research articles based on the obtained results. Where to apply Website https://emploi.cnrs.fr/Offres
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the MediTwin project, which aims at advancing patient-specific digital twins for medical applications by combining physics-based modeling, data assimilation,and efficient computational pipelines (https://www