181 parallel-computing-numerical-methods positions at University of Nottingham in United Kingdom
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of 30 days (or pro rata) plus standard bank holidays and five university closure days including closure between Christmas and New Year. Our reward scheme grants bonuses of numerous values for excellent
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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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teaching and provide advice as a member of the economic teaching team within economic programme of study, in a variety of settings including small group tutorials as well as lectures. Identify the learning
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applied to aid the decipherment of other similar objects across the British Museum collections. Although much work has been carried out on the tablets, numerous texts are not deciphered, and the work
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modelling. This exciting project involves the application of innovative methods such as high-throughput experimentation to expediate the syntheses (and bioanalysis) of life-saving pharmaceuticals
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international students to the school. We currently run an MA programme in International Communications, an MA programme in Digital Screen Production, and also have one of the most successful PhD programmes in
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are seeking talented candidates with: First or upper second-class degree in Robotics/Mechanical/Cybernetics/Mechatronics /Computer Science or related scientific discipline. First-rate analytical and numerical
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: - Have experience of using eye-tracking and/or psychophysiological methods (e.g., EEG/fEMG/EDA/heart rate monitoring) to study written language comprehension, including stimuli development, experimental
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include: To plan and manage own teaching and provide advice as a member of the IS teaching team within the IS UG / PG programme of study, in a variety of settings including small group tutorials as
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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