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Population and Data Science. The Institute was ranked the number one place in the world to study ophthalmology (CWUR 2017 world rankings), attracting principal investigators, post-doctoral fellows and PhD
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papers; presentation of research at conferences. Assist the development of student research skills, and be expected to contribute to the assessment of student knowledge (particularly PhD students) in
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in the research and management of the Computational Materials Discovery group. You supervise and guide students at the bachelor, master and PhD level. You contribute to the teaching activities in
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Full-Time, Fixed-Term (36 months) Salary is £41,945 to £48,003 pro-rata per annum (including London Allowance) We are looking for a highly motivated early career researcher with a PhD (or near
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on having a PhD. Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded. The funds
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them in a future trial. Patient and public involvement in the development, interpretation and dissemination of findings will also be key. About you Applicants will possess a relevant PhD (or nearing
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this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD qualified in relevant subject area* Experience developing deep learning segmentation models
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from the Institute of Sensors and Signals (ISS) at Heriot-Watt University and Prof. Mike Davies at the University of Edinburgh, Leonardo staff, PhD students and the other PDRAs at the collaborating
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diabetes. You should have a strong background and hold a PhD degree (or have submitted your thesis) in a relevant discipline. You must possess strong communication and written skills, whilst experience in
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(imaging mass cytometry); maintenance of tissue archives and databases. Key attributes of the successful applicant include: PhD in a relevant subject Substantial experience of histological techniques