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Research Group: Nanocomposites Project Overview We welcome a highly motivated PhD researcher with a background in chemistry, polymer science, materials science, chemical engineering, or a related discipline
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masters degree (in a relevant social or health sciences subject) or equivalent professional experience and an interest in/experience in health and social care research. We encourage applications from people
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This is a fully funded 3-year PhD studentship to join the group of Dr Tianyi Zhang in the Department of Cancer and Genomics Sciences to investigate molecular mechanisms of genome regulation in
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PhD programme . We are looking for a motivated and intellectually curious researcher with: A first-class or strong upper-second-class undergraduate degree (or a Master's degree) in Computer Science
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no impediment to obtaining Counter Terrorist Check (CTC) and/or Security Check (SC) clearance following their PhD. Entry requirements The minimum entry requirement is 2:1 in Engineering, Physics, Materials
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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
in the Department of Mathematical Sciences at Durham University. The project includes close collaboration with Professor Anders Østergaard Madsen , Principal Investigator, at the University
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the menstrual cycle. In this project you will combine innovative smart technology and the latest AI-based food tracking apps to understand the impact of dietary behaviours on PMS and perimenopausal symptoms and
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Civil Engineering and with strong interest in cementitious materials and experimental work. Fully-funded studentships (fees and maintenance) are only available for eligible home students in the first
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Hydro-Climate Extremes research group and work closely with Dr Xiaowen Dong (Department of Engineering Science), Dr Michel Wortmann, and project partners at ECMWF, Google Research and the Environment
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certain assumptions hold. However, whether these assumptions hold is difficult or impossible to verify in practice. The successful candidate will undertake a project in the area of statistics/data science