479 computational-physics-"https:"-"https:"-"https:"-"https:" PhD positions in United Kingdom
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of the candidate Essential requirements: A 1st class or 2.1 degree (or equivalent) in Environmental Science, Remote Sensing, Computer Science, Surveying Engineering, or related field Strong coding skills (Python
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In many engineering simulations, the accuracy and efficiency of the solution depend critically on how the mesh is distributed relative to the underlying physics. Features such as boundary layers
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techniques for feedstock and high value products characterization. 1st or a 2:1 in a Chemical Engineering, Mechanical Engineering, Materials Engineering, Chemistry, Physics Please contact Dr Orla Williams
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, synthesise and test the compounds. Using traditional methods, the equivalent process would take months. These approaches will be applied to optimisation of drug candidates for selected cancer targets
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seeking a place on a research degree programme at Harper Adams University (MPhil or PhD). Applicants must have their own, their employer's or their Government's funding. A letter of "Confirmation of funding
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-2026 April 2026 start ONLY For January and October starts please use the relevant application. This form is only to be used by those self-funded applicants seeking a place on a research degree programme
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October 2026 start ONLY For January and April starts please use the relevant application. This form is only to be used by those self-funded applicants seeking a place on a research degree programme at
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of the selection process and subject to final approval by the University. How to Apply: All applications should be made online . Under Campus, please select ‘Loughborough’ and select Programme
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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resources in North and East England, using a combination of physically-based hydrological modelling tools and water system models. The framework will be used to produce more transparent and physically