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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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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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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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essential you have a PhD or equivalent professional qualifications and experience in Optics, Mechanical systems, Soft matter, Liquid crystals, Tribology. You will conduct independent, high quality
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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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, 2023). The successful candidate will have a PhD in Philosophy or a related subject, and proven teaching skills. They will be enthusiastic and flexible in contributing to undergraduate and postgraduate
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/present at relevant conferences. There will be an opportunity to supervisor PhD and Master students as a secondary supervisor. Applicants are required to have a PhD, or equivalent professional
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) or Prof Patrick James ([email protected] ) for further information about this position in advance of submitting your application. Applicants are required to have a PhD, or equivalent professional