520 assistant-professor-computer-science-and-data-"St"-"St" PhD positions in United Kingdom
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, computing, and energy economics. The successful candidate will have an excellent understanding in one of the following fields: power system operations, power system economics, linear programming, micro
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members of staff. Research in the Department is organised into six themes : Causality; Computational Statistics and Machine Learning; Economics, Finance and Business; Environmental Statistics; Probability
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programme’ page, please select (Neuroimaging) Research MPhil/PhD (Full-time). More information on the department and the programme is available at the departmental prospectus page here: https://www.kcl.ac.uk
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, finance, and healthcare, where data integrity and system reliability are non-negotiable. This PhD project addresses the integration of robust security measures within AI-enabled electronic systems
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Francesco Fanicchia is a recognised expert in advanced surface engineering and the development of multifunctional protective coatings, specialising in thermal barriers and fire-resistant materials. As a
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of cultural adaptation. Behavioral and Brain Sciences. www.cambridge.org/core/services/aop-cambridge-core/content/view/F14F6E1809BEB70894B14FB8B5A51E91/S0140525X24001377a.pdf/children-as-agents-of-cultural
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energy, nanotechnology and applied materials science. Applicants should hold a first-class (or equivalent) degree in a relevant engineering or science discipline (upper second class may be considered
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honours degree in materials science, physics, engineering, or a related discipline. The ideal candidate will be self-motivated, with an interest in both computational modelling and practical manufacturing
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Cranfield University's tailored researcher training programme – setting you up for a rewarding career in water science and environmental technology. Per- and polyfluoroalkyl substances (PFAS), also known as
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The Medicines And Healthcare Products Regulatory Agency; | Canary Wharf, England | United Kingdom | 5 days ago
the Safety and Surveillance group. Within a week of working here, your day could look like this: responsible for implementing the innovative use of real world pseudonymised patient data across the range