221 parallel-and-distributed-computing-"Meta"-"Meta" positions at University of Cambridge
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Applications are invited to apply for a Research Nurse position within an established translational research programme headed by Dr Massimiliano di Pietro and Professor Rebecca Fitzgerald, focusing
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Campus. The CMDL is a key strategic resource for the integrated cancer medicine programme aimed to translate innovative genomics methods for advanced diagnosis and clinical management of cancer
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An exciting new role has arisen to support the expansion of the Active Students Programme at Cambridge. The role holder will be part of the team responsible for coordinating and supporting the day
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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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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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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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Administrator, with a special emphasis on the MPhil in Politics and International Studies. In conjunction with Programme Director, the post holder will be in charge of all administrative elements from admissions
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for the Future of Intelligence (CFI). The candidate will contribute to teaching and lead a research programme in one or more of the following areas: ethical use of machine learning, AI safety, algorithmic
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subject who have the ability to lead an exciting, innovative and fundable research programme. The applicant would typically have at least 3 years of post-doctoral experience and may already have experience
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Fixed-term: The funds for this post are available for 2 years. Programming languages provide an interface for developing increasingly complex models in science. However, as computer models grow more