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Field
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influence clinical practice. We welcome applications from candidates with following backgrounds: Candidates with strong experience in medical image analysis, machine learning (especially deep learning) and
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of disseminating research to both academic and industrial audiences. Qualifications PhD (or close to completion) in Computer Science, AI, Data Science, Machine Learning, Edge Computing, Signal Processing
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influence clinical practice. We welcome applications from candidates with following backgrounds: Candidates with strong experience in medical image analysis, machine learning (especially deep learning) and
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theoretical physics, quantum computing, or machine learning and have completed or be in the final stages of a PhD in this or a related discipline. Main duties and responsibilities Design and analyse quantum
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situated in the College of Creative Arts, Technology and Engineering. The purpose of the role is to support teaching and learning through the delivery of modules in conjunction with the Course Leader
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training. Teaching and Learning is important to the Department and University and all applicants will be expected to be able to play a full role in teaching across the undergraduate and postgraduate
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, Nutritional Sciences and Women's Health cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research
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machine learning and artificial intelligence. The successful candidate will support teaching on a new postgraduate MSc in Data Science with Machine Learning and AI, as well as more general teaching
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opportunity to work at the intersection of multimodal AI, cancer biology and digital pathology. The successful applicant will have a PhD or MSc with a significant machine learning element and/or experience with
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machine learning or AI methods in healthcare research, particularly within digital trials or real-world data studies. Expertise in analysing complex digital health data, including wearable sensor data