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Field
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-Intrusive Load Monitoring (NILM) can bridge this gap by turning whole-home readings into appliance-level information, with studies showing meaningful efficiency gains for households. However, deploying NILM
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Acceptable first degree - Physics, Mathematics, Natural Sciences, Engineering, Computer Sciences. The standard minimum entry requirement is 2:1. Mode of study: Full-time Start date: 1st October 2026 Funding
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Kat Daniels (k.daniels@mmu.ac.uk ) for an informal discussion. To apply you will need to complete the online application form for a full time PhD in Sports & Exercise Science Please complete
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for the ‘Course Title’ using the programme code: 8060F. select ‘Electrical And Electronic Engineering' as the programme of study You will then need to provide the following information in the ‘Further Details
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, Biochemistry, or Natural Sciences. Minimum academic requirement - A 2:1 undergraduate degree with a Masters qualification. Start Date: 1 October 2026 Additional Funding Information This PhD project is in a
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IAPETUS DLA PhD Studentships – Geography, Natural and Environmental Sciences, Mathematics, Statistics and Physics, Civil Engineering, Computing, & Geoscience Award Summary 100% of tuition fees paid
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thinking and design, under the supervision of Tim Hughes (a researcher in Systems Engineering and its interdisciplinary applications, and a lecturer in Applied Data Science), with co-supervision from
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environments like health care and environmental monitoring. This PhD project aims to address these challenges by exploring how evolutionary algorithms and reinforcement learning (RL) techniques can be combined
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Deadline: Monday 15th December, 2025. Competition funded PhD Project. Supervisors: Dr. Chih-Jen Lin (The University of Edinburgh), Dr. Pierre O. Bagnaninchi (The University of Edinburgh) About
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Geological Survey, Centre for Ecology and Hydrology, the Natural History Museum and Plymouth Marine Laboratory. The partnership aims to provide a broad training in earth and environmental sciences, designed