259 high-performance-computing-postdoc uni jobs at University of Cambridge in United Kingdom
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details about the role can be found in the Further Particulars. Fixed-term: 12-24 months, with a possibility of extension subject to project needs and performance. The closing date for applications is
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We are seeking a motivated and detail-oriented Research Grants Administrator to join our team. This pivotal role provides dedicated administrative support to academic colleagues in preparing high
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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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work closely with the CSTI Director to deliver high-impact, policy-focused materials and activities linked to CSTI's work. Within this role you will also be responsible for scanning key policy and
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maternity, adoption and shared parental leave. In addition, workplace nurseries, childcare vouchers, a childcare salary sacrifice scheme and a high-quality holiday play scheme are available to help support
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The Clinical School Computing Service (CSCS) is looking for an articulate, self-motivated and proactive IT Migration Engineer to join our IT Infrastructure Team. The successful candidate will be
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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
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high-quality communication to diverse stakeholders. Building strong working relationships across the University and with trade unions is essential. Please note we will be reviewing applications on a
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wellbeing: Our Cambridge Works programme isn't just corporate speak - we genuinely want you to thrive both at work and at home. We've embraced flexible hybrid working, and we balance in-person collaboration
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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