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Research FieldEnvironmental science » Global changeYears of Research ExperienceNone Additional Information Eligibility criteria • PhD in atmospheric sciences • Knowledge of cloud physics • Experience in
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the efficient and clean use of renewable synthetic fuels. Candidates will develop advanced skills in combustion science, chemical kinetics, and digital modeling. Each PhD will lead to a double degree awarded by
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD student (M/F) will join the 'Mosquito immune responses' team of the M3i unit
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academic and industrial researchers, within a dynamic aimed at the discovery of first-in-class drugs. Deep generative model of active molecules conditioned by cellular phenotype. The PhD student will
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) To develop Deep Learning algorithms to significantly speed up probabilistic inference algorithms of current spatial birth-death models 2) To incorporate fossil stratigraphic and spatial information into a new
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: - PhD in mechanical engineering, materials science or physics. - Good notions of heat & mass transfer, fluid dynamics, numerical methods. - Experience in numerical modeling (finite volume method
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Nov 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD candidate will be hosted at the UMR2000
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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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hard drive, server). 6) Mathematical analysis and modelling of data and formatting of figures. 7) Monitoring and maintenance of the team's equipment. 8) Training and supervision of PhD and Master's