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Oxford-DeepMind Graduate Scholarship (Computer Science) The Oxford-DeepMind Graduate Scholarships (Computer Science) are available for applicants to any full-time DPhil course within, or affiliated
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Oxford-Ashton Graduate Scholarship in Engineering One full scholarships is available for applicants who are applying to any full-time graduate courses within the Department of Engineering Science
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Oxford-Hoffmann Graduate Scholarships in Medical Sciences The Oxford-Hoffmann Graduate Scholarships in Medical Sciences are available for any applicants who are applying to study within the Medical
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progress into the AI and Data science workforce, and is available for full and part-time study of this course. Please note that part-time students will be awarded the scholarship on a pro rata basis. A total
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, and to understand and inform the emerging international standards framework for cell and pack qualification. Eligibility This studentship is funded through the UK Engineering and Physical Sciences
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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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computer science and/or signal processing, with the knowledge of machine learning and/or some expertise in the areas related to big health data including genomics, imaging data analysis. Preferred skill requirements
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RIBA (Royal Institute of British Architects) are accepting applications for the 2024 RIBA Scott Brownrigg Award for Sustainable Development . Launched in 2022 as a collaboration between RIBA and the architecture practice Scott Brownrigg, the award funds research to address environmental and...
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education? We are looking for a highly motivated individual who has an interest in Statistics and Data Science, to join the Department of Statistics within the School of Mathematics and/or the Leeds Institute
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education? We are looking for a highly motivated individual who has an interest in Statistics and Data Science, to join the Department of Statistics within the School of Mathematics and/or the Leeds Institute