18 computer-engineering-"https:"-"https:"-"https:" Postdoctoral positions at University of London
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internationally recognized as a world-leading centre of theoretically informed, empirically-grounded and politically-engaged research. The School of Electronic Engineering and Computer Science is firmly established
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to a broader computational strategy for next‑generation polymer design. About You You will have, or be close to completing, a PhD in materials science, engineering, physics, chemistry, or a related area
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About the Role The position is funded for 12 months through Dr Carolan’s UKRI Future Leaders Fellowship and offers an exciting opportunity to shape the next generation of sustainable engineering
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Electronic Engineering research output (REF 2021). We offer high-quality education to students from diverse backgrounds that leads them to achieve great career outcomes. Our Computing courses were recognised
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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
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Act 2006. Full-Time, Fixed-Term until 30 November 2028 Applications are invited for the post of Post Doctoral Research Associate (PDRA) in the Department of Computer Science at Royal Holloway. This is a
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consists of two academics, two senior physicists, two postdoctoral research associates (PDRAs), one technician, and one engineer. The ITk Group collaborates closely with the rest of the Particle Physics
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. The post is based in the School of Engineering and Materials Science. About You This Postdoctoral Research Associate Role will join the multidisciplinary research group of Prof Martin Knight, focusing
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About the role We are seeking an enthusiastic Postdoctoral Researcher to join the School of Engineering and Materials Science at Queen Mary University of London. The successful candidate will