502 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "UNIV" positions at University of Sheffield
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services for health, maximising person centred care) is a research and innovation programme to transform care for people with multiple long term conditions. It represents a partnership between systems
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Statistical Analysis Plan guidance (APT-SAP)’ project (https://sheffield.ac.uk/ctru/current-trials/apt-sap ). Provide high-quality statistical advice and support to multidisciplinary research projects within
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research. Plan work effectively, including availability of resources (equipment usage), liaison with technical staff, deadlines, project milestones and overall research aims, and report to line manager(s) on
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Exciting Fully Funded PhD: Computational Modelling for High-Pressure, Low-Carbon Storage Technologies. Be a Key Player in Shaping the Future of Clean Energy Storage! School of Mechanical, Aerospace
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computational modelling to explore structure/activity relationships. The project offers a unique combination of experimental and theoretical catalysis, providing a strong foundation for careers in both academia
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, prepare and circulate the agenda and papers, prepare and circulate minutes and provide follow up on actions. Plan and organise individual and School Office team activity over short, medium and long-term
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only. Intakes are usually October and March annually. NB The University has some scholarships under competition each year. More details can be found - https://www.sheffield.ac.uk/postgraduate/phd
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& professional services) Essential Application/Interview Excellent organisational skills with the ability to prioritise demands, manage your own resource requirements and plan and progress work activities in
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: https://sheffield.ac.uk/smph/people/academic/clinical-medicine/faith-howard For informal enquiries about this job contact Dr Faith Howard, Project Lead atf.howard@sheffield.ac.uk Next steps in
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objectives and experimental programmes. Work with project managers and senior research staff to plan resources, structure datasets, analyse machining performance and part quality, report research findings