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: 2699824DA Are you a passionate engineer with a PhD/ working towards your PHD who is eager to push the boundaries of composite structures? Then join our dynamic team at the esteemed Department of Aeronautics
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of NMR methodologies that permit the characterization of their structure and dynamics as well as interactions with other cellular components. Ideally applicants should possess a PhD in biochemistry (or
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science or a related field, who have demonstrated expertise in Python and a solid history of working with ML/AI technologies, especially in image processing. A PhD is preferred, but we also highly value
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candidates must hold (or close to completing) a PhD in a relevant subject. Knowledge and experience in computer vision is required. Experience of efficient ML techniques, edge AI hardware platforms, low-power
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successful you will have a PhD (or within six months of completion) or equivalent professional qualifications and experience in Physical Chemistry or Chemical Physics and a demonstrable understanding and
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electrodynamics to super-resolution imaging and optical nano-metrology - see www.nanophotonics.org.uk/niz/ . You will hold a PhD* or equivalent qualification in Physics or another subject relevant to the field
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at workloads requiring large amounts of GPU memory or long run times. A vibrant, diverse, and inclusive academic community. Opportunities for professional development and career growth, e.g., mentorship of PhD
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others. You will work as part of or lead multi-disciplinary teams from across the RAI UK programme. To be successful you will have: PhD in a field related to one of the following: Deep learning
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Chris Allgrove from lngenium and Professor Richard Guest from the School of Electronics and Computer Science at the University of Southampton, we are looking for someone with a PhD (or near completion) in
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of a collaborative research team. We encourage applications from candidates with a PhD* or equivalent qualification related to fibre optics/photonics, and expertise in the areas discussed above