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planetary atmospheres. The Section also initiates and manages a wide range of related modelling, software and hardware R&D activities. You are encouraged to visit the ESA website: https://www.esa.int/ Field(s
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modeling, molecular interactions/energetics, and tools such as AlphaFold, Rosetta, or MD simulations. Solid programming skills (Python); familiarity with machine learning is a plus. For both profiles, we
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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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molecular dynamics simulations, in close collaboration with leading European research institutes and steel industry partners. Job description At TU Delft, you will contribute to a transformative research
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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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across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models
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-based and UV-curable inks. Implement FEM simulations linking chemistry, processing, and performance. Integrate experimental data from the experimental PhD’s for model validation. Collaborate with
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. Experience with infectious disease data analysis, mathematical modelling, statistical modelling, simulation modelling, or related quantitative methods. Strong programming skills in R, Python, or a comparable
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(ABM) of mobility behaviour in Barcelona. Research Responsibilities The successful candidate will lead the development of a behavioural model that simulates how individuals make mobility decisions in
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Mobility through high-resolution CFD simulations, 3D urban modelling and real-world measurements. Join TU Delft to improve the safety and sustainability of future urban aviation! Job description The 3D