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We are seeking a motivated and collaborative individual to join our team as a NextNet Programme Grant Project Manager. Funded by UK Research and Innovation (UKRI) for five years, the programme grant
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encourage applications from individuals with a wide range of backgrounds and experiences. You should demonstrate: Essential Criteria A PhD or equivalent (including industrial) experience in Computer
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to ensure the successful delivery of the MBChB programme Have prime responsibility for the academic content and learning materials associated with their specialty for Year 4 MBChB and for this: Support equity
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integration of novel computer architectures for advanced edge computing scenarios. The research involves design space exploration and the implementation of digital systems using FPGAs, with potential for future
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to find out more about each of the studentships and scholarships available in the Faculty. Specified use These awards are for Integrated PhD Funding only (Master's + PhD). Your PhD study would follow
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respond to the changing nature of work, particularly as the responsible use of AI becomes part of everyday practice. As Programme Manager, you'll be at the heart of this flagship partnership, coordinating
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Type of award Studentship Value Fully Funded Studentships Specified use Please refer to the criteria on the BUDI website . Tenable period Ongoing Continuation of award Continuation of the award is subject to satisfactory progress. Number available This year, there are 50 studentships...
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fees for the period of the relevant programme as outlined in the offer letter (usually three years). CSC will provide living allowances as prescribed by the Chinese Government, and will cover the round
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this, the postdoctoral researcher will combine machine learning, molecular dynamics simulations and high performance computing (Isambard AI). Applicants must have a PhD in an appropriate area of computational chemistry or
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UKRI Future Leaders Fellowship awarded to Dr Eder Zavala: “Developing a mathematical and computational framework for digital endocrinology”. The work will build on hormonal time series data collected