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this academic topic by applying data analysis, energy system and/or environmental modelling frameworks to analyze hydrogen systems as part of an interconnected energy-environment system. As a PhD candidate, you
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therapy. The project will involve both physics-based forward modeling of protein structures and reinforcement learning methods for optimizing the structures. The outcome from the models will be tested in
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6th April 2026 Languages English English English The Department of Materials Science and Engineering has a vacancy for a PhD Candidate in magnetohydrodynamic modeling of electric arcs in silicon
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, the Department of Mathematics, and the Department of Philosophy. To respond effectively to the accelerating decline in biodiversity, BioM will unite ecology, statistics, and philosophy to improve the modelling and
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data with good utility. This project involves development of deep learning based synthetic data generators that obtain both good utility and protection of privacy, through tailored model approximation
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
of deformation mechanisms and recrystallization processes. The project will focus on understanding and modelling the microstructure evolution during extrusion, with particular emphasis on crystallographic texture
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experience in computational modelling, reaction mechanisms, and machine learning for catalyst design and discovery. Nova is also a Principal Investigator at the Hylleraas Centre for Quantum Molecular Science
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at the Department of Geosciences. PHAB’s main goal is to develop predictive models to identify habitable planets around other stars. Within three different research themes: (1) Planets and Early Earth
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, based on detailed studies of Earth and the solar system, is developing predictive models to identify habitable planets around other stars. Within three different research themes: (1) Planets and Early
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particular artificial intelligence (AI)—to study genetic and epigenetic alterations in cancer. ICGI is recognised for its work in digital pathology, where AI is used to develop new models for improved cancer