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the solar system either, is challenging our standard models of planet formation. Our goal is to predict and reproduce the architecture of these exoplanetary systems and the exoplanet properties, including
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, effort, and experimental expenses, and to provide data that is unachievable through experiments. Chemical kinetic models form the basis for a predictive tool, used to understand, optimise, and engineer
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, energy and weather optimal voyage planning including wind assisted propulsion, enhanced situational awareness for safe navigation, and predictive management of green energy storage systems. The PhD
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scientists. Experience leading with machine learning, predictive modeling, or structure-informed variant analysis. Track record of high-impact publications and active participation in international consortia
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Fotograf Morten Hjertø 20th January 2026 Languages English English English The Department of Ocean Operations and Civil Engineering has a vacancy for a PhD Candidate in maritime AI business models
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Researcher (R2) Positions PhD Positions Application Deadline 3 Feb 2026 - 17:00 (Europe/Lisbon) Country Portugal Type of Contract Other Type of Contract Extra Information NA Job Status Full-time Offer Starting
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and interact. We pioneer new methods for prediction, prevention, diagnostics and treatment of diseases. In the Division of Chemical Biology , we combine and develop protein engineering, synthetic
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, computational modelling, and data-driven alloy design to: Understand the mechanisms of local austenite-to-ferrite transformation in low-alloy steels; Develop frameworks to predict and control
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prototyping, fabrication experiments, development of experimental setups, material testing, design modelling and optimisation, and the preparation of workflows interfacing with robotic and construction
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Predicting EV behaviour in Future Electricity Systems School of Chemical, Materials and Biological Engineering PhD Research Project Directly Funded UK Students Prof Solomon Brown, Prof Daniel