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: Rethinking AI for Just and Sustainable Futures programme. CFI is a highly interdisciplinary research centre addressing the challenges and opportunities posed by artificial intelligence (AI). Funded by
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directly with the program lead, Prof Rose McCab, Dr Alexandra Bakou (Trial Manager) and Maria Long (Trial Manager) in the School for Health Sciences, City, University of London.. The post will be based
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criteria in the application statement when you apply. Essential criteria Current student or graduate in Computer Science, Software Engineering or a related discipline (assessed at: application/interview
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, purification and biophysical characterisation. You will work within a dynamic and collaborative research group investigating protein structure-function relationships, supporting fundamental science a with real
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partners in Thailand and Australia in a project funded by the British Council, and you will be responsible for investigating the latest developments in computer vision and Deep Learning to develop powerful
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buildings closed days (and Christmas Eve when it falls on a weekday) for all full time staff. Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value
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provider and they have accepted their offer of a place on an FE ITE programme. FE teacher training subject/ bursary awards Mathematics: £30,000 Science, including Biology, Chemistry, and/or Physics: £30,000
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studentships which include: Tuition fees A tax-free annual stipend at the UKRI rate for the duration of the studentship Benefits vary by programme, visit our funded programmes page to find out more about
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minimum stipend Specified use These studentships are open to all nationalities and will be of interest to students who want to research pure mathematics, probability, data science, and quantum information
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are higher than that supported by the CONACyT tuition scholarship. Tenable period Duration of Programme. Continuation of award Continuation of the award is subject to satisfactory progress. Number available