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epidemiology and machine learning. The scholarship will fund course fees up to the value of home fees*, a tax-free stipend of no less than £20,780 per annum), plus additional support for research expenses
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the first year of the CDT at TheUniversity of Manchester undertaking taught MSc studies and research training. Years 2 – 4: You will move to your host institute (University of Manchester, University
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PhD Studentship: Multi-robot Cyber-physical Systems for Solar Farm Health Monitoring and Maintenance
decarbonization of existing maintenance and decommissioning of assets. Year 1: You will spend the first year of the CDT at TheUniversity of Manchester undertaking taught MSc studies and research training. Years 2
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the first year of the CDT at TheUniversity of Manchester undertaking taught MSc studies and research training. Years 2 – 4: You will move to your host institute (University of Manchester, University
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the first year of the CDT at TheUniversity of Manchester undertaking taught MSc studies and research training. Years 2 – 4: You will move to your host institute (University of Manchester, University
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to complex challenges in this field. Essential and Desirable Criteria Solid foundation in computing principles, particularly computer graphics and machine learning. A 1st or 2.1 undergraduate (BEng, BSc, MEng
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Human Behaviour in projects targeting social good. Research at N/LAB focuses on the development and application of innovative computational methods using Big Data, Behavioural Science and Machine Learning
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in Vehicle Mobility in the Centre for Defence Engineering and Physical Science (CDE) at Cranfield University. Mr Kumar is the course director for MSc in Expeditionary Warfare Systems Engineering and
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multivariable statistical methods. Support for skills development is provided within the Horse Microbiome Research Group and the university’s Doctoral College . Delivery of this project in collaboration with
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. Experience in working with large data sets, knowledge of statistics, and some programming expertise is essential. The project is based in ECEHH, at the University of Exeter’s Penryn Campus in Cornwall, and may