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Research Studentship in Quantum Computation 3.5-year D.Phil. studentship Project: Controlling Errors in Quantum Computers Supervisors: DrZhenyu Cai, Prof. Dominic O’Brien This DPhil project will
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opportunities. The University is situated in Hatfield, in the green belt just north of London. More information and an application form can be found on the PhD Programme webpage via the above ‘Apply’ button
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January 2026 Reference: 0952-25 LANCASTER UNIVERSITY COLLEGE AT BEIJING JIAOTONG UNIVERSITY (Shandong, China) Maternity Cover required for a Computer Science Lecturer (teaching and scholarship) to commence
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quantitative connections between the continuum parameters and the underlying microscopic mechanics. Numerical study. Implement the models in computational codes to design and optimize morphing strategies. During
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at the Faculty of Life Sciences seeks to appoint a pre-doctoral researcher with expertise in archaeology/archaeological science and to work with Associate Professor Katerina Douka (https://doukalab.univie.ac.at
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funded. International applicants must demonstrate in their application how they will fund shortfall in fees by other means (personal funds,l or other grant); International applicants can visit https
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research agenda. The student will join the State of Wildfires Project (https://stateofwildfires.com/ ) at UEA, receiving advanced training in satellite data analysis, machine learning, and climate and fire
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to the successful candidates An annual tax-free stipend (salary) at the UKRI rate (£20,780 in 2025-26 for full time students), and a contribution towards research and training costs; A personalised training programme
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training and mentoring programme in place that consists of both key skills training and online monitoring of research progress. Project Options: Option 1 - A multi-omics spatial approach to characterise and
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at Nottingham https://www.nottingham.ac.uk/coatings/ is an international reference for all Thermal Barrier Coating activities. This PhD programme, in partnership with Rolls-Royce, will address key challenges