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systems capable of selecting and combining models of different complexity, in order to better represent groundwater dynamics and improve large-scale predictions under climate change. Objective — The PhD
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physical modelling to better understand the physical and chemical phenomena underlying plasmonic activity, with the goal of developing high-performance materials. In this context, the PhD student will be
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, the PhD student will work on developing a particle transport model. This will involve examining the variety of equations used by different research communities in the literature and formulating
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model for the reactivity/selectivity in superacid conditions. Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7285-FREGUE-005/Default.aspx Requirements Research FieldChemistryEducation
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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 This PhD topic forms part of the ANR
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the field. Perform quantitative analysis and agent-based modeling of behavior. Report, discuss, and present data to the team. The position is for 36 months. Laboratory work using virtual reality (VR
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the PhD). At Sorbonne University, the student will join IMPMC-UMR 7590 (https://impmc.sorbonne-universite.fr/en ). At the University of Melbourne, the student will join the Bio21 Molecular Science
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Additional Information Eligibility criteria Training and experience: A PhD in Materials Science, Computational Chemistry, Physics, or a related field, with a strong background in DFT modeling and experience in
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experimentalist to connect simulations with measurable observables. PhD topic This PhD project aims to develop a theoretical and numerical understanding of fluid transport under nanoconfinement, with a particular
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of linguistic and behavioral data (including egocentric eye-tracking data). Proficiency in Hindi Experience in computational modeling of typological data. Website for additional job details https://emploi.cnrs.fr