35 engineering-computation-"https:"-"https:"-"https:"-"https:" research jobs at University of London
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About the Role A Postdoctoral Research Associate position is available for 24 months within the School of Engineering and Materials Science at Queen Mary University of London to work on a Leverhulme
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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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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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progression. The Iskratsch Group , at the School of Engineering and Materials Science, Queen Mary University of London is exploiting cutting-edge mechanobiological, as well as imaging approaches2-5 with the aim
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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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in developing countries through excellence in research, healthcare, and training. Our research programme includes basic scientific investigations, clinical trials, epidemiological studies, intervention
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About the Role This Research Assistant position is an exciting opportunity to join the Centre for Advanced Robotics at Queen Mary (ARQ) within the School of Engineering and Materials Science. The
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environments. Demonstrated experience in data engineering and ETL workflows required to prepare large, real-world dataset for machine-learning development is also essential. Please note experience in healthcare