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beyond the stage of proof-of-principle by using it in human centric studies such as neuromarketing and sports sciences. The training and research programme: The successful candidate will join the EPSRC
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flight. Applications are invited from candidates who possess (or expect to gain) a first-class honours MEng or higher degree or equivalent in Aeronautics, Mechanical Engineering, Robotics or related areas
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when the project commences. Applications are invited from candidates with (or who are expected to gain) a first-class honours degree or equivalent in a suitable field such as engineering, computer science
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sports sciences. The training and research programme: The successful candidate will join the EPSRC Centre for Doctoral Training programme in Photonic and Electronic Systems programme (PES CDT). Further
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AI has taken its rightful place as a key disruptive technology over the last few years. The availability of open-source software platforms (e.g. Hugging Face, OpenAI, VertexAI) enables the sharing
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, economists, and computer scientists at Royal Holloway.The position will be supervised by Professor David Levine (Economics), but the successful student will also benefit from the expertise provided by members
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are expected to gain) a first-class honours degree or equivalent in a suitable field such as engineering, computer science, physics, or atmospheric science. Funding This studentship is for 3.5 years and will
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machine learning to CFD-generated datasets. The ideal applicant is a fresh graduate in engineering or in a closely related discipline, with a track record of achievements at the top of their cohorts
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, MEng), computer science, software engineering is essential. Main Duties and Responsibilities Study design, data collection and analysis. Attend UCL courses and training (eg., in research study design
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information The Department of Chemical Engineering at University College London (UCL) is seeking an enthusiastic graduate student to work on the development of computational methods to study nucleation, crystal