163 programming-"the"-"DAAD"-"IMPRS-ML"-"FEMTO-ST"-"UCL"-"Prof" "https:" positions at University of Sheffield
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progress through their programme journeys, from welcome and transition to graduation. You will set the annual schedule of key activities and lead developments to improve the student experience and you will
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should have a good knowledge of particle physics and experience programming in Python or C++. Candidates who are interested in multiple projects within our group need only register their interest once and
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BBSRC Yorkshire Bioscience DLA Programme: How does Keratin switching enable regenerative cell recruitment to sites of injury? School of Biosciences PhD Research Project Competition Funded Students
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Experience in scientific writing and presentations Desirable Application/interview Ability to organise and plan complex activities effectively Essential Application/interview Generic IT skills e.g. statistical
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events beyond the standard model of particle physics. The candidate should have a good knowledge of particle physics and strong programming skills. Participation in the ProtoDUNE experiment is possible
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BBSRC Yorkshire Bioscience DLA Programme: Decoding Condensin Regulation: Single-Molecule Tools to Target IDR Interactions (CASE project) School of Biosciences PhD Research Project Competition Funded
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progress through their programme journeys, from welcome and transition to graduation. You will set the annual schedule of key activities and lead developments to improve the student experience and you will
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"ROSEHIPS" Programme Grant. The ROSEHIPS project is focussed on creating new technology for Population-Based Structural Health Monitoring (PBSHM). It is a consortium between the Universities of Sheffield
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on the Finance department can be found at the following web link: http://www.sheffield.ac.uk/finance Main duties and responsibilities Act as a recognised source of financial support and advice to Principal
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safe adaptations to overheating in children’s hospitals". This 8-month Development Award project (NIHR504238) is Phase 1 of a proposed two-phase research programme. It is funded by the NIHR Policy