231 professor-computer-"https:"-"https:"-"https:"-"https:" positions at University of Sheffield
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. Candidates are expected to possess a degree in Software Engineering or Computer Science. Specifically, applicants must demonstrate experience in writing tools to address flaky tests and have encountered them
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with the University of Sheffield requirements. For more details please contact Professor Kamran Mumtaz within the School of Mechanical, Aerospace and Civil Engineering at k.mumtaz@sheffield.ac.uk Funding
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assessment approaches and criteria, provision of formative and summative feedback (oral/written), marking to agreed deadlines. Carry out module and programme evaluation, implement teaching quality assurance
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(see, e.g., Lea, 2017). Applicant Profile Applicants wishing to apply to research this project would be supervised by Professor Nigel Harwood, who has conducted research on the dissertation supervision
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partners. Plan for specific aspects of the research programme as discussed with the supervisor of the project. Assist in the day-to-day management and delivery of the project. For each particular hypothesis
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for research in computational hearing, speech perception and speech technology. It includes five professors, three lecturers and many research associates and PhD students. SpandH group members play key roles in
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; digitised newspapers and parliamentary papers; and, relevant printed primary sources at the British Library. Supervisors: Professor Julia Moses (j.moses@sheffield.ac.uk) Professor Adrian Bingham
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work closely with module leads and programme teams to ensure the effective delivery, assessment and evaluation of taught modules. You will contribute to curriculum delivery by preparing high-quality
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Computational Spectroscopy/Hydrogen-tunneling at elevated temperatures in the gas-phase School of Mathematical and Physical Sciences PhD Research Project Self Funded Prof AJHM Meijer Application
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, full-time position funded by the European Research Council (ERC Advanced Grant ‘PlantMemo’), led by Professor Jurriaan Ton. The project investigates how plants establish and maintain stress memory