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, full-time, Economics PhD training from October 1st , 2024, under the primary supervision of Professor Carlos Alós-Ferrer. The studentship cover tuition fees for four years and includes a generous living
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Primary supervisor - Prof Kate Kemsley Secondary supervisor - Assoc Prof Katharina Huber 'Chemical space' is the vast, multidimensional landscape of all possible molecules that exist in nature
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Main Supervisor: Dr Dean Bryant Other members of the supervisory team: Dr Zoë Walters and Professor Tim Underwood Duration of the award: Four years Start date: 23rd September 2024 Project
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date of recruitment, applicants must not have resided or carried out their main activity (work, studies, etc...) in the UK for more than 12 months in the 3 years immediately prior to their recruitment
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PhD programme a First-class Honours degree, or a 2:1 Honours degree and a Masters, or a Distinction at Masters level a degree (or the international equivalents) in engineering, earth science
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diversity of thought and opinion in everything we do, in the belief that when views collide, disciplines interact, and perspectives intersect, truly original thought takes form. Benefits We offer competitive
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attention, leading to impressive advancements in algorithms, datasets, and benchmarks. The primary aim of this project is to develop innovative, effective, and efficient deep learning algorithms tailored
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, transparent, and inclusive environment for the use of AI while reflecting its profound importance to society. The PhD candidate will work under the primary supervision of Dr Sakshyam Panda at the Centre
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capability of a globally used numerical coastal morphodynamic modelling system by introducing new wave breaking and sediment transport formulations. The primary aim of the project is to investigate bar
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validating joint models for clinical prediction. Applicants should have: Obtained or working towards a 1st class degree in Mathematics (BSc/MMath) or Distinction level Masters in (Bio)Statistics, Data Science