703 web-programmer-developer-"LIST" "https:" "https:" "https:" "https:" positions at University of Sheffield
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- £36,636 Work arrangement Full-time Line manager Assistant Grant Developer Our website www.amrc.co.uk For informal enquiries about this job contact Charlotte Hartley-Smith c.hartley-smith@sheffield.ac.uk
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subset of those factors, in order to develop recommendations about improving evidence-based treatments. The research will involve: the validation of a novel measure of outcomes; appraisal of factors
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develop our composite machining team. In this pivotal role, you will lead a diverse group of staff, fostering their skills in CNC programming and operation to efficiently undertake research relating
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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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engineering expertise, knowledge and skills to design, develop and build complex experimental test rigs and test instrumentation/control systems. Working to high engineering standards and tolerances. Use of CAD
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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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to the Faculties of Social Science and Science. The role is varied with a focus on the provision of high-quality business partnering and is an opportunity to develop leadership skills and experience across both
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specialist technical equipment, to meet the needs of the School regarding research, teaching and experimental work. Plan, design and manufacture components to high standards and engineering tolerances for both
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at the University of Sheffield. This PhD project will develop intelligent gate drive control integrated circuits (ICs) to provide dynamic control of the power device switching characteristic while providing power
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Development and Validation of a Multimodal Wearable Headband for Objective Bruxism Monitoring Using Machine Learning (S3.5-DEN-Boissonade) School of Clinical Dentistry PhD Research Project