847 phd-in-computational-mechanics-"FEMTO-ST"-"FEMTO-ST" PhD positions in United Kingdom
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benefits toward a net-zero future. Project specific entry requirements: The PhD should have background in Materials, Chemistry, Engineering etc. Potential PhD programme of study: PhD in Renewable Energy
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IAPETUS DLA PhD Studentships – Geography, Natural and Environmental Sciences, Mathematics, Statistics and Physics, Civil Engineering, Computing, & Geoscience Award Summary 100% of tuition fees paid
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. Previous experience in computational modelling, air quality or psychology is desirable. The Research Project The overall aim of this PhD project is to understand how indoor air quality (IAQ) affects
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Closure Date - 30th January 2026 We are looking for exceptional students to apply for a funded PhD opportunity at the Centre for Health Economics (CHE). CHE will fund a studentship from the
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Deadline: 12.12.25 How to apply: https://uom.link/pgr-apply-2425 For UK students This 3.5-year PhD studentship is open to Home (UK) applicants and EU students with settled status. The successful
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A PhD position is available at the Theory and Foundations group in the Department of Computer Science, University of Warwick, UK. The group works on various aspects of theoretical computer
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Two PhD positions, funded by the UK Royal Society, are available at the MIND Research Group for the academic year starting in October 2026. The group is based in the Clarendon Laboratory, Department
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develop AI- and deep learning–based computer vision tools to automatically identify and quantify intertidal organisms. Beyond computer vision, it will leverage machine learning for large-scale, data-driven
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the relationship between tyre operating conditions and friction behaviour, new characterisation and analysis techniques are required. In partnership with Mercedes-Benz Grand Prix Ltd, this PhD research will combine
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environments like health care and environmental monitoring. This PhD project aims to address these challenges by exploring how evolutionary algorithms and reinforcement learning (RL) techniques can be combined