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Field
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engineering Chemistry Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 10 May 2026 - 23:59 (Europe/Brussels) Country Belgium Type of
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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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of materials under pressure, with a view to identifying and formalizing rules and concepts; - Applying the DFT/MLIP “Crystal Structure Prediction CSP” methodology to various issues addressed by the research
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of the Institute of Chemical Technology ITQ (CSIC-UPV) in Valencia offers a PhD position linked to the project entitled "AI-Enabled Defect Engineering and Mechanistic Discovery in MFI Zeolites", funded by the “la
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and policy concepts, and co-producing interventions with DfT and other partners. The PhD student will be based at the University of Birmingham and supervised by Professor Russell Beale and Dr Renate
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at the University of Rouen Normandie is seeking a motivated PhD candidate for the CRONOSS project, which aims to revolutionize crystallization control by combining in silico simulations with experimental validation
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, review or influence the work of others within the Department. Minimum Required Education is a Master's Degree in Chemical Engineering, Chemistry, Mathematics, or equivalent with a PhD in Chemical
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experiments (MS/IR and MS/MS CID) to probe intrinsic energetics, structures and fragmentation pathways Integrating experimental data with DFT calculations to build a unified mechanistic framework Host
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quantum chemistry (DFT) and control engineering. PhD position in chemical reaction engineering (Kinetic modeling & thermal runaway) Supervisors: Sébastien Leveneur (sebastien.leveneur@ircelyon.univ-lyon1.fr
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proposal preparation Requirements: PhD degree in chemistry, physics, chemical engineering, computer science, or other related fields Research background in theoretical catalysis/materials science, AI/ML