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you apply. Criteria Essential or desirable Stage(s) assessed at Bachelor’s or master’s degree in Computer Science, Engineering, Applied Mathematics, Data Science, or a related area (or equivalent
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Research Technician to support a BBSRC-funded research programme in oral stem cell biology within the School of Clinical Dentistry, Faculty of Health, University of Sheffield. This role will support a four
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Overview We are seeking a highly organised, proactive Project Manager to provide day-to-day operational, logistical and financial management for the NIHR School for Social Care Research (SSCR) project Navigating Neurodisability Through The Prison Gates. This complex, multi-site, co-produced...
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this brings while also being capable of taking ownership and progressing your own areas of work. Within Network Services we are expanding our team to support a multi-year programme of network transformation
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Interplay between Algorithms and Combinatorics School of Computer Science PhD Research Project Directly Funded Students Worldwide Prof Parinya Chalermsook, Dr Maksim Zhukovskii Application Deadline
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Overview This role delivers a range of marketing administrative activity to meet the needs of the Marketing team. This work encompasses all administrative support from finance to basic project management. The role requires a highly organised team player, who can prioritise and work independently...
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the application statement when you apply. Criteria Essential or desirable Stage(s) assessed at Degree in Engineering, Computer Science, Physics, or equivalent experience in a technical data/control systems role
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of the Give It a Go programme. Undertake short-term project management relating to student conduct initiatives and contribute to larger Department and University wide projects (including Arrivals
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UKRI Future Leaders Fellow in delivering a large and ambitious research programme linking advanced materials science characterisation and understanding with industrial processes to improve the quality
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and responsibilities Conduct a comprehensive review and synthesis of existing air quality, health and economic data, applying quantitative and computational techniques where appropriate to ensure robust