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physics-based insights with data-driven methods—such as physics-informed neural networks, surrogate models and Bayesian optimisation—to explain formation behaviour, identify early indicators of cell
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of knowledge by undertaking a specified range of activities in relation to the Historic England’s funded KNEWA (Developing Knowledge and Networks for the Expansion of Wellbeing Archaeology research project
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one out of several WCSSP-India projects and joint meetings will provide an opportunity for further networking. The successful candidate will hold a PhD, or be very close to completion, in ML, statistics
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and quantum cellular automata, many-body quantum chaos, quantum integrability, (generalised) hydrodynamics, quantum information scrambling, entanglement measures, tensor-network theory. The ideal
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, and to develop personal networks with industry and other stakeholders Training and development through the University and QuSIT Allocation of time to dedicate to personal career development, such as
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participating in collaborative networks & academic/industrial secondments. Role Summary Work within specified research grant: UKAEA Chair project in Birmingham, led by Prof. Enrique Jimenez-Melero, in support of