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Field
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in wide-bandgap solids are an example, where the deterministic interaction between emitted photons and electronic and nuclear spins enables photon mediated entanglement for distributed quantum networks
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. The successful applicant will investigate the structure, dynamics, and motility of the bacterial Type IV pilus (T4P) machinery in the model organism Thermus thermophilus using theoretical modelling, simulation
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qualification/experience equivalent to PhD level in a relevant subject area (physics, engineering, computing science, etc.). You will need as essential skills a good knowledge of C and python, familiarity with
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outcomes-based finance such as impact bonds, carbon–biodiversity credits, blended finance structures, and the design of decision-support tools for conservation investment. You will collaborate with
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Attend weekly research group meetings, as well as the biweekly Edinburgh Mathematical Physics Group joint seminar Interact with other Postdoctoral Research Associates and PhD students working on related
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Engineering epitomises the forward-looking transformations taking place at the Manchester Metropolitan University. The faculty is poised to be one of the leading research institutes in the UK. You will be
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at the School of Engineering & Materials Science, Queen Mary University of London, working closely with researchers at the Digital Environment Research Institute & Barts Heart Centre. Barts Heart Centre provides
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: Host strain screening and engineering for microbial bioprocess development; microbial physiology and adaptation for industrial applications; high-throughput screening and automation for strain
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regulators of haemostasis and inflammation, and may play a key role in mediating the vascular effects of CO exposure. However, this interaction remains poorly understood. This project aims to determine how
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of the land ice contribution to sea level rise until 2300 with machine learning. You will develop probabilistic machine learning “emulators” of multiple ice sheet and glacier models, based on large ensembles