474 computational-physics-"https:"-"https:"-"https:"-"https:"-"IFM" PhD positions in United Kingdom
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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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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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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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application form for a full time PhD in Physical Sciences Please complete the Doctoral Project Applicant Form , and include your CV and a covering letter to demonstrate how your skills and experience map
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. This interdisciplinary PhD is ideal for candidates with a background in chemical engineering, physics, soft matter science, computational chemistry, and/or related disciplines. Early applications are encouraged, as the
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, and travel related to the project. Overview ReNU+ is a unique and ambitious programme that will train the next-generation of doctoral carbon champions who are renowned for research excellence and
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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