336 quantum-physics-"https:"-"https:"-"https:"-"Embry-Riddle-Aeronautical-University" PhD positions in United Kingdom
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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
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conductance (G) and Seebeck coefficient (S) with low thermal conductance (k). Graphene Nanoribbons (GNRs) are promising but currently, designing high-ZT GNRs is a slow, trial-and-error process, as the inverse
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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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-quality simulation data. This PhD aims to fundamentally change the turbomachinery design process by replacing iterative RANS-based CFD loops with regression-driven inverse design. Instead of repeatedly
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of the key processes featuring PFAS strategy plans. It is a widely implemented process with well-known infrastructure and operation. However, while GAC regeneration frequencies for micropollutants such as
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, their composites, and analyse, characterise, or model the reaction pathways and the properties of involved phases. The role holders must have very good knowledge and expertise in material physics and/or chemistry or
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autonomy: learning-based systems that can operate safely over long horizons, respect physical constraints, and provide predictable closed-loop behaviour. By grounding reinforcement learning in stability
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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