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a PhD in Materials Science, Chemical Engineering, Chemistry, or related discipline; materials processing and characterization experience; knowledge of characterization techniques (XRD, SEM
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About the Role This is an exciting position where applicants are invited to join a multi-disciplinary team of bioengineers, biomedical scientists, and computer scientists working together at Queen
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About the Role This is an exciting position where applicants are invited to join a multi-disciplinary team of bioengineers, biomedical scientists, and computer scientists working together at Queen
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, postdoctoral researchers, and PhD students and provides an inclusive environment supporting innovation in clean energy and advanced engineering solutions. We welcome staff from diverse backgrounds and are
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evaluating computational methods, analysing imaging data, collaborating with clinicians for real-world impact, and contributing to publications. About You PhD (or near completion) in computer
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will hold a PhD (or close to completion) or possess equivalent research experience in a relevant computational field such as data science, artificial intelligence, machine learning, computer
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approaches and the high precision of dynamic approaches. The successful candidate will: You will have a PhD in Computer Science (or be near completion) with a strong research record in one or more of the
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successful candidate must have a PhD (or equivalent) in the field of computer vision or a closely related area. They will possess the skills and ability to conduct high-quality, innovative research and to
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models. The project has the potential to bring together ideas from several different areas: mathematics (polynomials, probability, complex dynamics systems), theoretical computer science (computational