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-institutional strategic national research programme dedicated to using data to transform our understanding of cancer risk and enable early interception of cancers. It represents a major, multi-million-pound
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vision systems addressing an urgent industrial challenge with immediate, large-scale impact. The project will take existing knowledge in computer vision and deep learning and apply it directly to a
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institutes. Teaching Responsibilities In the role of a lecturer, the successful candidate will teach graduate courses in the Electrical Engineering (MEE) program and undergraduate courses in the Electrical
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are delivered safely, sustainably, on programme, within agreed budgets, and with consideration of whole-life costs. Working closely with the CPPM and/or Project Manager, you will liaise with departments and
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the programme will be overseen by Professor Shakila Thangaratinam and Professor John Allotey, along with senior clinical academics, Dr Andy Sharp and Dr Abi Merriel. The academic training will include
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Participating in regular meetings with teaching and support staff contributing to the effective overall management of the programme and student life cycle. Contribute to the design, delivery and development
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the Program Director for day-to-day academic program management and onsite implementation of academic affairs. The role also maintains a secondary reporting line to the Vice President of Academic
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months of start date. Applicants must meet the overall and subtest requirements using a single test. Common equivalent English language qualifications for entry to this programme TOEFL (ibt, mybest
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taken within 2 years 5 months of start date. Applicants must meet the overall and subtest requirements using a single test. Common equivalent English language qualifications for entry to this programme
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Contact Programme director, Dr Hongling Liang, hongling.liang@glasgow.ac.uk Study options Study options PhD Duration: 3 years full-time; 5 years part-time Thesis length: 70,000-100,000 words, including