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Field
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. The project combines quantitative modelling of markets and the wider energy system with empirical analysis of how flexibility is created, priced, and traded by market participants. A central objective is to
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. Experience with EMT simulation tools, frequency-domain modelling, real-time simulation or hardware-in-the-loop environments is highly valued. Beyond technical excellence, we seek candidates with intellectual
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. Experience with the modeling, simulating and building experimental setups related to one: Batteries SoX, AC and DC Grids, EV charging. Excellent English language skills Experience with managing large projects
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established international reputation and publication record. Strong scientific-programming proficiency for implementing computational models, simulations, and numerical experiments is desirable. Diversity
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 2 months ago
simulation, shape/topology and system-level design optimization applied to deformable systems — advanced level Data-driven design and modelling approaches (machine learning applied to physical/mechanical
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administration. The work relies heavily on the use of animal models for MS and mammalian cell culture. The ideal candidate is expected to be highly motivated with a strong work ethic and demonstrated creativity
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publication record. Open-source software contributions. Experience with: Foundation Models Large Language Models (LLMs) LLM Fine-Tuning Agentic AI Systems Diffusion Models Scientific Simulation Software High
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. The postdoctoral scholar will contribute to an exciting research program within the Foy Lab (www.foylab.xyz/) https://foylab.xyz/ , developing machine learning, computational, and mathematical models for improving
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Systems At the Institute of Climate and Energy Research – Energy Systems Engineering (ICE-1), our focus is on developing models and algorithms for simulating and optimising decentralised, integrated energy
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experimentation, modeling, simulation, and optimization of chemical processes. The successful candidate will work on the development of advanced process models combining experimental investigations with