49 postdoc-parallel-computing research jobs at University of Cambridge in United Kingdom
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We are seeking a highly motivated Research Assistant/Associate to join EPSRC and industry funded Digital Roads (DR) Prosperity Partnership at the University of Cambridge. This programme is a
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A Copy Writer position has become available as part of the Climate Compatible Growth (CCG) programme, an exciting research programme involving leading UK universities and KTH Sweden. CCG is funded
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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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programme of support that will help you to establish you as an independent academic researcher, including assistance with your fellowship application, setting up your lab and recruiting personnel, as
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on the study of biomolecular condensates. Key Responsibilities The successful candidate will contribute to a dynamic research programme investigating the formation and regulation of RNA-protein
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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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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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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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to the regulation of complex behaviours. This will involve a range of techniques including high resolution confocal microscopy to determine receptor localisation, behavioural analysis of C. elegans and computational
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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