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turnaround times. You will develop and validate new capabilities within XCALibre.jl, Nottingham’s GPU-accelerated, AI-ready CFD framework turning complex coupled physics into practical tools that engineers can
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/ masters degree (chemical engineering, chemistry, physics, environmental chemistry / engineering, or similar) Willingness to learn and adapt to new disciplinary areas. Ability to manage and lead independent
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physics-based and data-driven methods to support the design and scale-up of these systems. This approach will reduce the need for costly experiments, improve scale-up predictions, and provide confidence
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application via our Apply webpages:www.imperial.ac.uk/study/apply/postgraduate-doctoral/application-process . When submitting your application, you will need to use the following details: Search course
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. The relationship between the fabrication process parameters and the microstructure of the alloys will be investigated. The assessment of performance will be based on correlative accelerated laboratory testing and
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Engineering, Physics or a related subject area (first class degree or equivalent). We invite applications from highly motivated individuals, able to master complex subjects and eager to undertake research in a
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at Bachelors or Masters level in Chemistry, Physics, Materials Science, or a related discipline. The successful applicant will demonstrate strong interest and self-motivation in the subject and the ability
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that combine generative AI, reinforcement learning, and human-in-the-loop learning to enable robots to understand tasks at a semantic level and translate them into robust physical actions. You will join the
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degree with honours (or equivalent) in Engineering, Physics, Mathematics, or Materials Science • Excellent English written and spoken communication skills • Foundations in Continuum Mechanics and
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PhD Studentship: Bottom-up Decoding of Protein Conformational Landscapes: from Gas-phase to Solution
process by which proteins traverse the free energy landscape, thus connecting the unfolded and the folded (native) state. Understanding protein folding mechanisms is a key route to better understanding