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The Faculty of Science and Engineering (FSE) provides teaching and research across a wide range of disciplines, from physics and biology to artificial intelligence, mechanical engineering, and
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modelling of electrochemical systems, together with experience in machine learning and data-driven modelling. Research Associate: Hold a PhD in Aerospace Engineering, Chemistry, or a related discipline, or
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1. A PhD degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science, Systems Engineering, etc. 2. The candidates should have strong math, modeling, programming, and
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theoretical modeling of free-electron-driven X-ray photonics. Working closely with experimentalists, the research fellow will lead the study of coherent X-ray emission from free-electron-driven van der Waals
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 3 hours ago
Description The Odyssey team is offering a 6 month engineer position on ocean modelling within the ERC Stuod (Stochastic transport in ocean dynamics). Odyssey (for Ocean DYnamicS obSErvation analYsis) is a
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in the research project - “Towards efficient stamp forming of thermoplastic composites through data-driven thermo-mechanical modelling”. Qualifications Applicants should have a doctoral degree or an
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the research project - “Towards efficient stamp forming of thermoplastic composites through data-driven thermo-mechanical modelling”. Qualifications Applicants should have a Master’s degree or a good honours
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in large language models (LLMs), agentic architectures, retrieval-augmented generation (RAG), workflow orchestration and enterprise integrations, in addition to modern software engineering practices
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innovations. The Pediatric Disease Modeling Lab (https://dbe.unibas.ch/en/research/data-driven-modelling-analysis/pediatric-disease-modeling-lab/) is seeking a Senior Scientist to help lead a growing research
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, neural differential equations, operator learning, machine learning for dynamical systems, and hybrid mechanistic/data-driven models. · Computational methods for scientific discovery: AI-assisted simulation