448 associate-professor-computer-"https:"-"https:"-"https:"-"https:"-"UCL" PhD positions in United Kingdom
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/Programme: Aeronautics Research (PhD) Research Topic: Please use reference number AE0085 Research Supervisors: Professor Matthew Santer, Dr. Paul Bruce Research Group: Aero For further information
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Are you an outstanding and ambitious engineering or computer science graduate looking for the next challenge? Do you want to work at the frontier of artificial intelligence and robotics to enable
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under the supervision of Dr Mehrdad Vasheghani Farahani from Department of Chemical Engineering, with co-supervision by Professor Ian Kinloch from Department of Materials. The successful candidate will
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to pathogenicity in the gut, directly addressing mechanisms that underpin susceptibility to fungal infection. You will be based at the Quadram Institute Bioscience and supervised by Professor Alessia Buscaino
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infrastructure. The successful candidate will benefit from access to extensive expertise across The University of Manchester in civil engineering, structural engineering, fire engineering, computational modelling
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collaboration between the Universities of Exeter and Newcastle. Exeter has internationally recognised expertise in multi-omics, state-of-the-art sequencing, and computational pipelines. The Exeter team has led
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be compared and calibrated. In-silico technique based on Computational Fluid Dynamics (CFD) will also be developed to provide further information necessary for the development of new MRI image scanning
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components of the PhD. Helen Parretti (Norwich Medical School) is a GP, Clinical Associate Professor and obesity specialist with expertise in primary‑care‑based obesity‑management interventions and national
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synthesis, exploring advanced modelling techniques to maximize yield and minimize byproduct formation. Scalability Studies: investigate the challenges and opportunities associated with scaling up
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- See advert for details Deadline: 13 April 2026 Supervisors: Dr Zhenhui Yuan and Professor Joseph Hardwicke Predictive Network Intelligence for Medical Telerobotics Research area and project description