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Field
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(Prof. Miika Mattinen) in the Department of Chemistry and Materials Science (CMAT), is now looking for: Doctoral researcher (PhD student) in thin films for electrocatalysis Are you passionate about
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decade. This PhD project places you at the forefront of this challenge, developing the tools and insight needed to design the next generation of offshore aquaculture infrastructure. Research Overview
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, from fundamental theory, laboratory experiments, and detailed numerical simulations, to mesoscale pore network modeling and upscaling to continuum-scale theories that can be applied in application
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staff members (researchers, engineers, PhD students) and operates several major experimental facilities: LULI2000, Apollon, HERA, XCAN. The PhD student will join LULI's theory team (TIPS) and will work
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more reliable designs. The student will use advanced numerical simulations at KU Leuven to model the impact of large waves on OFPV structures, capturing key processes such as wave breaking, overtopping
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this PhD project is part of the REFFRACTEUR European Doctoral Network, the 36-month doctoral programme will be organised as follows: Months 1–9 (9 months): the doctoral candidate will work at SAFRAN's
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18th September 2026 Languages English English English PhD Candidate in Hydraulic and Geotechnical Engineering of Embankment Dams Apply for this job See advertisement This is NTNU NTNU is a broad
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leading laboratory in optics and nanophotonics. The PhD student will benefit from: - The expertise of the team's PhD students and postdoctoral researchers, who are already involved in the development
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, crystallography) and molecular simulations. The PhD student is recruited within the ANR-funded project MyoAssemble. Myosins are molecular motors involved in several critical cellular processes. They convert
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
computational modelling and simulation in engineering, including numerical methods, finite element analysis, constitutive models, response prediction, or digital twins (0–4 points); Experience in computational