68 high-performance-computing-postdoc research jobs at University of Cambridge in United Kingdom
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A position exists for a Research Assistant/Associate in High TRL Aerothermal Testing at the Department of Engineering. You will join the growing National Centre for Propulsion and Power team, based
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evidence the potential to carry out research in theoretical computer science at a high level. Candidates will need to meet all prerequisites for admission to the PhD programme in Computer Science (please
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developing cutting-edge computer vision and deep learning aimed at optimising inspection and monitoring of infrastructure. Applying these advanced technologies to real-world infrastructure challenges through
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Computer Science, with a focus on computational complexity, cryptography, and quantum computing. Based in the Department of Computer Science and Technology at the University of Cambridge, a world-leading centre for
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Fixed-term: The funds for this post are available for 12 months. Applications are invited for a Research Assistant (RA) to join the Prorok Lab in the Department of Computer Science and Technology
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of the research programme is to develop EHR common data model specifications and to advance knowledge in the field of psychiatry EHR research, including clinical risk prediction modelling. The appointee will work
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international universities. Key components of the programme include: ¿ With collaboration partners, oversee / perform small scale screening experiments to identify candidate molecules in clearly defined
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candidate will primarily support other team members in conducting ongoing observational studies and clinical trials. Key responsibilities will include: Assisting the team in producing high-quality research
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: Rethinking AI for Just and Sustainable Futures programme. CFI is a highly interdisciplinary research centre addressing the challenges and opportunities posed by artificial intelligence (AI). Funded by
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, including 3D scanning, 3D Geometric Morphometrics and generally support the research focused on skeletal morphology, preservation, and documentation through high-resolution imaging and data management