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, computer modelling and innovative ideas and wishes to contribute to a healthy planet. Your background could be in physics, physical chemistry/engineering, or biomedical sciences, and your role will be tuned
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of these based on AMD computer processor and graphics processing unit (GPU) technology. These implementations will develop machine learning models to determine performance and complexity when compared
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’. Use ‘Course Search’ to identify your programme of study: Search for the ‘Course Title’ using the programme code: 8090F. Research Area: Mechanical and Systems Engineering. Select ‘PhD Mechanical
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, Signal Processing, Machine Learning, or Computer Science. We welcome applicants onto the CDT from underrepresented groups. Closing date : 31th Aug 2024. Funding: Full-time studentships will cover UK
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OF THE PROJECT Essential Criteria: A first-class or upper second-class (2:1) degree (or equivalent) in a relevant discipline such as mathematics, computer science, AI, data science or statistics. Experience in
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-class or upper second-class (2:1) degree (or equivalent) in a relevant discipline (physics, mathematics, computer science, AI, data science or statistics). Strong candidates with sports science
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, Physics, Mathematics, or a related subject. A relevant master’s degree and/or experience in one or more of the following will be an advantage: modelling of dynamic systems, programming (MATLAB, Python, C
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who is interested in a PhD in Inorganic Chemistry with Dr. Richard Knighton at the University of Southampton, starting in October 2024. Upconversion (UC) and downconversion (DC) are of paramount
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. Bench fees required: No How to apply Apply online via the above ‘Apply’ button. Under programme name, select ‘School of Sport, Exercise and Health Sciences’. Please quote the advertised reference number
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This 4 year PhD is fully funded by EPSRC and MOD under the UK hypersonics programme. Tuition fees will be paid and you will receive a tax free stipend set at the UKRI rate (£19,237) plus a top up