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The Mechanical and Aerospace Systems Research Group (MAS) requires an Experimental Research Fellow who is experienced in the field of multiphase computational fluid mechanics and aero-engine oil
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This is a theoretical/computational postdoctoral position for the prediction and development of strongly correlated materials for use in quantum technologies. Project activities include
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This is a theoretical/computational postdoctoral position for the prediction and development of point defects in two-dimensional materials for applications in quantum technologies. Project
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leader in engineering innovation and drive technology, we design and deliver high-performance systems for industrial, automotive, and renewable energy applications. We are now seeking a dynamic Programme
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focusing on the use QM/MM simulations to study targeted covalent inhibition and approaches to accelerate quantum chemistry calculations on quantum computers. Candidates should have a PhD in computational
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project which aims to understand which computational (reinforcement learning) mechanisms are engaged by different antidepressant treatments and through this improve targeting of future treatments for
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to understand which computational (reinforcement learning) mechanisms are engaged by different antidepressant treatments and through this improve targeting of future treatments for clinical depression
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collaboration between the Universities of Nottingham, Edinburgh, Cambridge, UCL, Dundee and Southampton funded by LifeArc for five years in the first instance. You will join a team, led by Professor Simon Johnson
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novel computational imaging and sensing techniques for compact imaging systems. These systems are applicable to all sectors which require compact imaging specifications, but will have a primary focus on
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novel computational imaging and sensing techniques for compact imaging systems. These systems are applicable to all sectors which require compact imaging specifications, but will have a primary focus on