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% of publications rated as 4* and 3*), this dynamic Department is an excellent place to work. The strategic vision for the Department includes a growth plan of over 50% over the next five years, with a significant
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relationships for future research collaboration. To plan and manage own research activity, research resources in collaboration with others and contribute to the planning of research projects. To deliver training
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the effectiveness of our research governance structures across departments, research institutes, and the university itself while launching a series of interventions including Shadow Committees and co-designed pilot
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the Department, working alongside world-class colleagues, with the support of a designated mentor. Career Development Fellows will benefit from tailored support to strengthen their skills, will be provided with a
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relationships for future research collaboration. To plan and manage own research activity, research resources in collaboration with others and contribute to the planning of research projects. To deliver training
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and offering creative or innovative solutions. To plan and manage own research activity and research resources in collaboration with others and contribute to the planning of research projects. To foster
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environment. Our aim is to sustain and support hubs of leadership in geographical scholarship – broadly conceived. We will maintain our reputation for theoretical and conceptual innovation so that we
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external contacts to develop knowledge and understanding to form relationships for future research collaboration. To plan and manage own research activity, research resources in collaboration with others and
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and understanding to form relationships for future research collaboration. To plan and manage own research activity, research resources in collaboration with others and contribute to the planning
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team. The successful candidate will have a strong academic track record, including experience in designing, carrying out, analysing, and interpreting video observations and associated quantitative data