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of whole-body and tissue-organ composition and energy expenditure with physiological and psychological measures of appetite, and free-living energy balance tracking technology is used to measure energy
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background (e.g., mathematics, computer science, electronical engineering, physics, statistics, economics). Closing date : 31st July 2024. Funding: Full-time studentships will cover UK course fees and an
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significantly to the academic body of knowledge on sustainable supply chain management. Essential and Desirable Criteria A 2:1 Bachelors or a Masters Degree in Business, Engineering, Computer Science or relevant
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requirements for our PhD programme . All applicants should have (or expect to obtain) a first-class degree in a numerate discipline (mathematics, science or engineering) or MSc with Distinction (or 70% average
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This is a full-time, funded PhD opportunity in the Faculty of Science and Engineering. It is open to both home and overseas students. Please note that only home fees will be covered - eligible
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invite applications from self-motivated individuals who hold/or expect to gain a first or upper second-class honours degree (or equivalent), or an MSci or Master’s degree, in a relevant life sciences or
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second-class undergraduate degree with honours in Engineering, Physics or Materials Science Excellent English written and spoken communication skills The following skills are desirable but not essential
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AI universe. Here’s what will set you apart: Elite Academic Pedigree: Armed with a first- class degree from a related discipline such as Physics, Mathematics, Engineering or Computing, you are ready to
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Advanced media technologies are transforming production processes within the Creative Industries, leading to new innovations and a range of impacts - for skills, for business models and investment, and for the environment. The CoSTAR Foresight Lab has been established to explore the challenges...
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, Northeastern University London (NU London) has multiple, fully-funded PhD studentships available to accelerate its interdisciplinary research in the humanities, social sciences, and computing, maths, engineering