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Midlands Graduate School Doctoral Training Partnership | Warwick, England | United Kingdom | 3 months ago
how administrative data can be better used to inform the prevention of serious violence. It will examine how homicide and serious-violence data are generated, coded, linked, and analysed. It will draw
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of mixed methods co-development research, including liaising with stakeholders, working with qualitative/quantitative data and holding skills in digital communication. Familiarity with Figma, NVivo, basic
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, excellent communication, good attention to detail and a positive approach to your work. The ability to manage workloads effectively and provide accurate information and documentation is essential. Whilst
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50% FTE graduate research assistant for six months. A successful candidate will work alongside Kate, Clare and the steering group, collect data and help to create materials. A successful candidate must
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50% FTE graduate research assistant for six months. A successful candidate will work alongside Kate, Clare and the steering group, collect data and help to create materials. A successful candidate must
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using high content imaging, biochemical characterisation and toxicity evaluation experiments in neurodegenerative disease. The ability to optimise protocols, analyse the data created, and report findings
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attention to detail and a positive approach to your work. The ability to manage workloads effectively and provide accurate information and documentation is essential. Whilst knowledge of SITS is not essential
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fixed term post is full-time (35 hours per week), available immediately until 31 March 2028. Further information about this vacancy and how to apply can be found via the above 'Apply' button. Salary
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funded by the University and by NaturalMotion Ltd. NaturalMotion Ltd develops computational methods for animating movement, as used in Hollywood films and computer games. The founder, Torsten Reil, is an
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and Informatics provides a vibrant, collaborative research environment, bringing together expertise across advanced networks, artificial intelligence, data science, and engineering disciplines. We value