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and optimization of machine learning methods. Candidate’s profile An ideal candidate would typically have: a strong degree or higher qualification in a relevant field (e.g. computer science, mathematics
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. What you should have: A 1st degree in physics or engineering. An interest in optics, some ability in computer programming A desire to learn new skills in complementary disciplines. You will work jointly
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Applications should be submitted via the Civil and Environmental Engineering PhD programme page. In place of a research proposal, you should upload a document stating the title of the project that you wish
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This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
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of Materials Science and Metallurgy as part of the Structural Materials Group. The Structural Materials Group is a diverse and dynamic research team working across aerospace, automotive, energy, defence, and
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Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply Please read and complete this document as your Personal statement, and upload
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. Desirable Prior Experience Previous experience working in the field of microbial genomics, bioinformatics or computational biology would be desirable How to apply This project is offered as part of the Centre
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particularly wide skills training, including experimental and computational work. Applicants should thus have a first (or upper second) class degree in chemistry, biochemistry or a related, relevant subject
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We invite applications for an exciting, fully funded PhD studentship at the interface of textile engineering, electronics, and wearable health technologies. This collaborative project between Heriot