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! In this role, you’ll support the planning and delivery of our Athletics Sprint programme, working closely with our Lead Coach and performance support teams. You’ll coach both group and individual
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information: provisional title, the topic or area to be investigated, the problem or hypothesis to be tested, the methods and techniques to be used in the research, a provisional timetable for the project
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expanding research community where collaboration, experimentation and interdisciplinarity are embraced and actively encouraged. The successful applicant will be part of the Creative Practices, Methods and
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Practices, Methods and Analysis CPMA research cluster. More PhD opportunities are listed on the CPMA website: https://www.ntu.ac.uk/research/groups-and-centres/groups/creative-practices,-methods-and-analysis
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in the UK. We pride ourselves on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computing and technology, as well as engineering, forensic
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courses. We are one of the largest law schools in the UK, offering a range of undergraduate degrees, academic and practitioner taught postgraduate courses and a strong research degrees programme. The School
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, behavioural finance theory, social capital theory and other relevant theories on sustainable development. Knowledge of these theories is not a pre-requisite to apply for this PhD. Method The project will
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in the UK. We pride ourselves on delivering high-quality teaching and diverse, real-world research. We specialise in biosciences, chemistry, computing and technology, as well as engineering, forensic
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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
broad range of applications. Computational chemistry and Machine Learning increasingly underlies MFM research to search or screen candidate MFMs prior to synthesis. A major drawback when applying
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women's entrepreneurship in tech, the potential PhD student will employ a mixed-methods approach, including 1. Gathering qualitative and quantitative data from women tech entrepreneurs to understand