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Field
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. Yutaka Sumino, Tokyo, Japan), gaining exposure to both theoretical and experimental aspects of the field. Opportunities for lab visits abroad will further enrich your research experience. You will be part
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are however a number of interesting, insightful ideas which may point to a more profound understanding. One of these is ''Centre Vortices''. These are the non-perturbative part of the gluonic fields and distils
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skills and work well as part of a team. The Cambridge Institute for Medical Research (CIMR) is located on the Cambridge Biomedical Campus and it is a collaborative institute at the interface between
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, methodology and data. Strong interpersonal, communication and organisational skills. Please note, that DBS check is required as part of the research and will form a condition of the offer. Desirable: Experience
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-analysis. Additional information Informal enquiries are welcome and should be made to Professor Jeremy Howick at jh815@leicester.ac.uk As part of the University’s ongoing commitment to professional
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are aDisability Confident employer and will offer an interview to disabled applicants who meet the essential criteria for the role as part of the offer and interview scheme. In addition, we are a member of the
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for part-time study. The student would be based in the Centre for Smart Grid in the Faculty of Environment, Science and Economy at the Streatham Campus in Exeter. Project Description: With the increasing
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. For eligible students the studentship will cover Home or International tuition fees plus an annual tax-free stipend of at least £19,237 for 3.5 years full-time, or pro rata for part-time study. The student
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electronic systems and associated components. This fully funded studentship provides an enhanced tax-free stipend of £24,000 per annum for 3.5 years, plus a travel bursary and consumables for laboratory
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of thousands of potential materials. A key component of the project is the creation of a high-quality defect database for functional mixed-anion semiconductors, which will be used to train the machine learning