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Requirements Essential: • PhD (or near completion) in Chemical Engineering, Environmental Engineering, Sustainable Process Engineering, or a closely related field. • Demonstrated experience in techno
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preference will be given to candidates with subject matter expertise in the following areas: professional military and security education; disruptive technology and AI; Russian strategy and doctrine; military
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independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements PhD/Master’s in Naval Architecture, Ocean Engineering, Civil Engineering, or related field
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This research focuses on a critical challenge: understanding and mitigating hydrogen pre-ignition risks caused by lubricating oils under demanding engine conditions. Hydrogen is a clean, zero-carbon
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alto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers
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policy, gender, international relations, migration and borders, security studies, strategic studies, technology and violence. We are a theoretically and methodologically plural research and teaching
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different sources Share data, software and models including experimental and simulation data Deploy close-to-data computation and containerisation of data and software Use AI to explore data Make the results
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Overview Autonomous driving systems (ADS) are rapidly advancing, but ensuring their safety and reliability remains a critical challenge. Simulation-based testing offers a promising approach to
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About Us The Department of Mathematics at King’s College London is one of five departments within the Faculty of Natural, Mathematical & Engineering Sciences. King’s College London is one
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. We are now looking for: Three (3) Doctoral Researchers (PhD students) in Machine-Learning-Driven Atomistic Simulations The Data-driven Atomistic Simulation (DAS) group, led by Prof. Miguel Caro