278 computer-"https:"-"APOS-UFFICIO-CONCORSI-DOCENTI" "https:" "https:" "https:" "https:" "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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systems Produce detailed and complex designs and cad drawings for academics and students using CAD software. Program machine tools effectively using CAM software also having the ability to produce programs
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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
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reception, you will take ownership of a range of administrative tasks that support students as they progress through their programme. The ideal candidate will have outstanding customer service and
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computing) Desirable Application Experience of disseminating research findings to non-academic stakeholders, and the public. Desirable Application & Interview Further Information Grade 7 Salary £38,784
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an interdisciplinary supervisory team and an established Advisory Programme. The student will join the well-funded and friendly Whitfield lab (see blog). Please apply for this project using this link: https
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innovation programme to transform care for people with multiple long term conditions. It represents a partnership between systems engineers, healthcare researchers, health data experts and health service
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. More info can be found at: https://www.sheffield.ac.uk/dcs/people/academic/jefersson-alex-dos-santos About the School & Research Group The successful candidate will join the Computer Vision group in
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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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training in molecular plant-microbe interactions, epigenomics, and computational biology. You will gain hands-on experience in plant disease phenotyping, genetic transformation, and high-throughput