976 phd-computational-mechanics-"FEMTO-ST"-"FEMTO-ST" PhD positions in United Kingdom
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, multidisciplinary research environment, at the centre of which are several innovative research groups and centres. We have a well-established PhD programme and you can study with us in, or across, a wide range of
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The City Law School is offering one full-time, three-year doctoral scholarship (entry in September 2026) especially for Black British applicants. We invite applications from exceptional and ambitious graduates who wish to pursue cutting-edge research in any of the School’s key research...
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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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). Additional project costs will also be provided. Overview We are seeking a highly motivated PhD candidate with interests and skills in computational modelling and simulations, fluid dynamics, mechanical
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motivated PhD candidate with interests and skills in computational modelling and simulations, fluid dynamics, mechanical engineering, physics and applied mathematics. You should have experience in one or more
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Search’ to identify your programme of study: search for the ‘Course Title’ using the programme code: 8090F select ‘‘PhD Mechanical Engineering (full time) - 8090' as the programme of study You will then
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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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on more than bone growth; it depends on a complex dialogue between immune and skeletal cells. When this communication falters, healing slows or fails. This PhD will explore how mechanical and topographical cues
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A fully funded 3.5 years PhD position in developing software and computational tools for sustainable supramolecular materials design is available in the group of Assistant Professor Andrew Tarzia
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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