154 computional-geometry-algorithm positions at University of Nottingham in United Kingdom
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. The successful candidate will be expected to contribute to teaching, curriculum development and supervision within the MA TESOL programme, as well as providing wider supervision for our growing numbers of EdD/PhD
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the results of this project. Candidates must possess a good first Degree (or Master's) and PhD (or near competition) in Engineering, Mathematics, Physics, Computer Science, or related disciplines. Your working
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Rolls-Royce University Technology Centre (UTC) in Manufacturing and On-Wing Technology Applicants are invited to undertake a fully funded three-year PhD programme in partnership with industry
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for career progression. Employee Assistance Programme and Counselling Service- 24/7 support. Supplier discounts, travel, and reward schemes. Staff Networks, and wellbeing activities and state of the art sports
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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 acquire, analyse, interpret
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English language proficiency proof (if applicable). After discussion, you may be invited for an interview. What the PhD Programme Offers: This PhD will include the payment of Home tuition fees as
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project which aims to understand which computational (reinforcement learning) mechanisms are engaged by different antidepressant treatments and through this improve targeting of future treatments for
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to understand which computational (reinforcement learning) mechanisms are engaged by different antidepressant treatments and through this improve targeting of future treatments for clinical depression
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We are looking for a researcher, whose expertise lies in wave simulations, to work with Prof Gregor Tanner and Dr Martin Richter on an EPSRC-funded project entitled “xDEA - Vibro-acoustic energy flow in hybrid systems: improving the simulation of engineering structures”. As part of the project -...
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Applications are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in manufacturing engineering. The successful candidate will be based