150 parallel-and-distributed-computing-"Meta"-"Meta"-"Meta" positions at University of Nottingham in United Kingdom
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industry recognised qualifications. Personal and Career Development support, and opportunities for career progression. Employee Assistance Programme and Counselling Service- 24/7 support. Supplier discounts
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repair and maintenance of gas turbine engines. Applicants are invited to undertake a fully funded three-year PhD programme in partnership with Rolls-Royce to address key challenges in soft robotics
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acceptable but will need to be demonstrated through certified evidence of substantial training and experience that has qualified candidates to plan, direct and perform an independent research programme with
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, direct and perform an independent research programme with substantial deliverables. Ideal candidates will also have expertise in sustainable cities and communities, human-environment interface and the
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responsibilities include: To take the lead on, plan, develop and conduct individual and/or collaborative research objectives, projects and proposals either as an individual or as part of a broader programme. To
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INTERNAL VACANCY This vacancy is open to employees of the University of Nottingham only. We are seeking to appoint a Digital Learning Officer (Maternity Cover) to join the Health E-learning and Media (HELM) team in the School of Health Sciences , University of Nottingham. The HELM team...
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We seek to appoint a Postdoctoral Research Associate/Fellow to work in a vibrant and multidisciplinary project funded by the EPSRC Working with Centres Programme under the supervision of Dr Anabel
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Research Group at the Faculty of Engineering which conducts cutting edge research into experimental and computational heat and mass transfer, multiphase flows, thermal management, refrigeration, energy
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Technology, The University of Nottingham. Applicants are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. The
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Open PhD position: Autonomous Bioactivity Searching Subject area: Drug Discovery, Laboratory Automation, Machine Learning Overview: This 42-month funded PhD studentship will contribute to cutting-edge advancements in automated drug discovery through the integration of high data-density...