754 parallel-and-distributed-computing-phd-"Meta"-"Meta" Fellowship positions in United Kingdom
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multiple long-term conditions navigate their social care needs. The position is full-time fixed-term until 01/04/2026. About you You will hold a PhD or equivalent professional qualification and experience
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To create and contribute to the creation of knowledge by undertaking a specified range of activities within an established research programme and/or specific research project. Specifically, the appointed
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COG-MHEAR is a world-leading cross-disciplinary research programme funded under the EPSRC Transformative Healthcare Technologies 2050 Call. The programme aims to develop truly personalized
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, and PhD and project students. This is on a part-time basis to enable other career development commitments. About you You will have a clinical qualification with current GMC registration, along with
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Fellow will use their research knowledge, skills and experience to contribute to the design and delivery of an ambitious research programme within the Law & Policy work stream. This includes (but is not
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guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake management/administration arising from research Contribute to Departmental
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of publications. Criteria Essential or desirable Stage(s) assessed at A PhD (or close to completion of a PhD) in Machine Learning or a similar area (e.g. in Computer Science, Electrical and Electronic Engineering
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training and have opportunities to participate in faculty development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One
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. The Postdoctoral Research Fellow will: Conduct a programme of research towards achieving one or more these goals. This will include contributing to the design of experiments, growth of the necessary plant material
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seminars etc Supervise students on research related work and provide guidance to PhD students where appropriate to the discipline Contribute to developing new models, techniques and methods Undertake