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with MEng / MSc degree in Engineering, Mathematics, Physics or Computer Science. The scholarship is primarily open to UK nationals; EU, Commonwealth or USA nationals may also be considered. Supervisor
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addition to funding for tuition fees and research training. We are looking for applicants with a degree in Computer Science, Mathematics, Physics, or Electrical Engineering. Prior experience in tomographic imaging
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Master’s degree (preferably with a merit or distinction) in a social, biological or mathematical subject, or computer science. UKRI Minimum Stipend Research Training & Support Grant Institutional & CDT
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AI has the potential to revolutionise healthcare, providing tools for fast and reliable analysis and interpretation of medical data. For instance, many deep learning models for medical image analysis have been recently developed and deployed in the clinic, assisting doctors with diagnosing and...
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an upper second-class degree or equivalent qualifications in a relevant subject area such as chemical engineering, computer science, mathematics or other engineering/science disciplines with significant
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, or higher) degree in Mathematics, Computer Science, Statistics, Engineering, Physics, or related STEM areas. Scholarship: The studentship is for 3 years and will provide an annual tax-free stipend of £20,662
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for vulnerable populations. The ideal candidate has: Bachelor’s degree (first/upper second or equivalent) in Complex Systems, Network Science, Data Science, Computational Social Science, Physics, Mathematics
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prediction. This project is a collaborative effort between the School of Computing & Mathematical Sciences (CMS) and the School of Engineering (SoE) to utilise expertise and facilities between two schools
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; Max Planck Institute for Human Cognitive and Brain Sciences | Bedford Park, England | United Kingdom | 1 day ago
(with Merit or Distinction), in a related field such as (but not limited to) Engineering, Physical Sciences, and Mathematics. Experimental experience would be an advantage but not required as full
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at Imperial College London. You will have a 1st or 2:1 class honours degree in mechanical engineering, physics, mathematics, or a related subject, and an enquiring and rigorous approach to research together