58 parallel-and-distributed-computing research jobs at University of Cambridge in United Kingdom
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-generation AI hardware (ASIC) accelerators. The UK's Advanced Research Invention Agency (ARIA) is supporting an ambitious programme of work that aims to reduce the the cost of AI by more than 1000x: https
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at the University of Cambridge. We are looking for a motivated, independent, and talented scientist. The successful candidate will work with Prof. Chris Pickard to develop their own research programme within
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position will contribute to the research programme of the recently founded "AI Hub in Generative Models", a research consortium funded by EPSRC. The goal of the programme is to do research in the area of
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to younger and older adults. In addition, the post-holder will help with organising lab administration. Previous experience with neuropsychological testing and strong computer skills (e.g., MS Office, R
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exciting opportunity to use AI-based methods to uncover the molecular mechanisms behind mRNA processing and fate. You will be part of a computational team, led by Dr Susanne Bornelöv, which studies the role
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their firm level commercialisation outcomes with a focus on Europe. The research conducted by this Fellow will benefit from new computational techniques and data sources and from being in CEENRG, a major
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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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or Masters) in a quantitative / analytical subject. Experience in computer programming, particularly in the context of data manipulation and analysis using a language such as Python. Experience in working with
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We are seeking a highly motivated Research Assistant to join an exciting interdisciplinary project at the intersection of ecology and computer science. This collaborative project, involving
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The Mitchell Group at the Cambridge Early Cancer Institute is seeking a highly motivated and skilled Research Assistant with a background in computational biology to join their team specialising in