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» Surface physicsYears of Research ExperienceNone Additional Information Eligibility criteria • Strong experience in numerical simulation and/or physical modelling • Knowledge or strong interest in
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hydrogen and sustainable fuel production through advanced simulation models and sector-coupling applications. Your main objective will be to develop a coupled dynamic model of an alkaline water electrolyzer
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failure modes of electrical machines and their effects on vibration behavior are simulated. To this end, you will first adapt existing finite element models (FE) to represent mechanical faults. You will
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 23 days ago
-methods project includes use of nationally representative surveys, literature reviews, causal loop diagramming, an expert elicitation process, and simulation modeling. The postdoc will take part in study
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, and procedures related to campus safety. Go here to review: https://safety.temple.edu/reports-logs/annual-security-report You may request a copy of the report by calling Temple University’s Campus
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researchers and doctoral students across 13 research groups. Research at LOE spans materials synthesis and chemistry, theory and modelling, fundamental materials physics, and device development, with
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chemistry, theory and modelling, fundamental materials physics, and device development, with applications in energy, printed electronics, photonics, and bioelectronics. A strong common theme is materials
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mobility services. Develop and estimate discrete choice models for transportation mode choice decisions. Implement and apply agent-based transport simulations to assess demand and modal-split changes under
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The proposed research activity aims at the development of numerical models
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This M2 or equivalent internship is part of a French National Research Agency (ANR) funded project, UniGEM (Unified inference for Genomic Epidemiology of Malaria). Using simulation-based inference