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possibility for further extension dependent on funding. Initial interviews have been scheduled for September 2025. For informal enquiries, please contact, Prof Gerasimos Theotokatos, MSRC Director at
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limited to, age, race, disability, ethnicity, gender, gender identity, geography, sexuality, and social class. Interviews for shortlisted candidates are provisionally scheduled for Tuesday 11th November
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priority areas. These projects are all scheduled to commence in February 2026. Successful applicants will benefit from supervision by experienced and research-active colleagues, access to dedicated doctoral
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. Candidates are encouraged to send their applications by the 25th of June 2025. Online interviews for shortlisted candidates are scheduled shortly after the closing date. Contact: personnel@economics.ox.ac.uk.
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learning applications to improve project cost, risk, and schedule performance Please state your entry requirements plus any necessary or desired background A first class or an upper second class British
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algorithms are used that allow a computer to process large data-sets and learn patterns and behaviours, thus allowing them to respond when the same patterns are seen in new data. This include 'supervised
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this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat of data-driven modelling
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) at the latest. Applicants selected for an interview will be notified by September 5, 2025. We intend to schedule interviews (in person or via Zoom) in the second week of September. The ideal start date would be
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spread over five months (October 2025-February 2026). The duties will include: Observing a series of training sessions, in-person at University of Nottingham. Assisting with the design of a schedule of
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supported research project that is time-limited and scheduled to conclude in April/May 2026. The fixed-term nature of the role reflects the specific funding period and project timeline. The post-holder will