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Field
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, Organisational Behaviour, Statistics, Machine Learning, and so on; Excellent oral and written communication skills in English, including the ability to communicate with clarity on complex information. Excellent
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the sequence of the human genome and the development of common diseases. You will work on a collaborative project that aims to develop Machine Learning and laboratory-based approaches, for decoding how the human
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leading School. In this role, you will: Teach at undergraduate and master’s level, including lectures, seminars, tutorials and computer labs. Act as a personal tutor, providing academic and pastoral support
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. Into the second year, the project moves toward methodology refinement and Machine Learning integration. The student will execute a more ambitious cycle with a complex alloy system and integrate machine learning
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second in the UK for research power and first in England. About the role The project will be carried out at the Department of Computer Science, in the Machine Intelligence Lab (https
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Chair Prof./Prof./Associate Prof./Assistant Prof./RAP in Faculty of Computer & Mathematical Sciences
-class university that makes a positive impact on society, living up to the University's motto: "To learn and to apply, for the benefit of mankind". Ranked among the top 100 universities globally by well
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for its research and its innovative approach to learning, with an on-going £1 billion investment in facilities, staff and buildings. This builds on our tradition of success that stretches back 200 years
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cloud computing platforms Experience working with older adults and/or patient groups (Desirable) Understanding of Parkinson’s disease (Desirable) Experience in machine learning/AI techniques (Desirable
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explainable multi-modal deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The successful candidate will need to be eligible for UK security clearance in principle
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network management. You will have a good first degree in physics, electrical and electronic engineering, computer engineering/science, or another relevant subject, and a PhD or equivalent experience in