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About the Role We are seeking to hire a Research Assistant to work on a three year grant funded by the Road Safety Trust on Motorised Mobility Devices: Incidents, Near Misses and Safety. This grant takes forward our work on road safety for mobility scooter users and is a collaboration with...
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response, we have limited knowledge of the key regulators involved. This research programme will build on our current evidence on the role of nuclear actin in the DNA damage response and identify key
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Local Area Energy Plans (LAEPs) for the region What is Collaboratory? Collaboratory is a new research programme, led by Universities for Nottingham and the Leicester Universities Partnership, that places
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countering the threats and opportunities related to AI in different organisational settings. Entry qualifications MSc in business, management or other social science discipline relevant to the topic. Fees and
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for prioritising multimodal transport planning for suburban and rural areas - How micromobility models can be integrated with public transport? What is Collaboratory? Collaboratory is a new research programme, led
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, business, management, data/computer science, or a related field. We especially encourage candidates with strong quantitative skills in R or Python, though proficiency in other tools such as SPSS, Stata
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needs. The Product Team deliver key strategic software application strategies via product roadmaps, driving both large-scale projects and a programme of continuous improvements. Key Responsibilities
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. Entry qualifications Candidates must have a UK Master’s degree (or international equivalent) in Computer Science, Management Science, Business Analytics, Mathematics or a related discipline. A strong
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October 2025 Entry qualifications Applicants must hold a master’s degree in accounting, finance, economics, business, management, data/computer science, or a related field. We especially encourage
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the development of climate change models of fashion supply chains and the design of computer model laboratory experiments (with students) that will aim to determine what and how participants learn from these models