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The Biomedical Image Analysis Group, led by Prof Ben Glocker, in the Department of Computing at Imperial College London is seeking a talented Research Assistant / Associate to take a key role in an
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your formal application, please name Prof Peter Munro as your proposed supervisor and include Project Code 24001. Contact: For informal inquiries please contact Prof Peter Munro who will be happy
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. Watch recordings. Start Date October 2025 or January 2026 Award Duration 4 years Application Closing Date 12th September 2025 Sponsor HydroStar Europe EPSRC Supervisors Prof Elizabeth Gibson Eligibility
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2025 Sponsor HydroStar Europe EPSRC Supervisors Prof Elizabeth Gibson Eligibility Criteria You must have, or expect to gain, a minimum 2:1 Honours degree, or international equivalent, in chemistry, or
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degradation pathways. The project will be jointly supervised by Prof. Emma Kendrick (UoB), Dr. Tim-Patrick Fellinger (BAM), and supporting investigators. The student will split their time between both
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career, whether in industry or academia. Please contact Prof. Isaac Chang (Isaac.Chang@brunel.ac.uk ) for an informal discussion about the project. Eligibility Applicants will have or be expected
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abort (or not engage) if the bright white lines that fit a defined and rigid expectation are not clearly visible. These systems use algorithms, rather than AI machine learning, to detect road markings and
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prosthetics. The project will be supervised by Prof. Sarah Cartmell, Prof. Julian Yates, and Dr. Jose R. Aguilar Cosme at the University of Manchester. While prosthetic materials continue to evolve, current
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Supervisors: Prof Cathy Merry, Prof. Kenton Arkill, Dr Andrew Hook Overview Glycosaminoglycans (GAGs) are linear sugars that are displayed on all cells throughout the body as well as in the matrix
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for greater precision. Machine learning (ML) algorithms will analyse these datasets to deliver a scalable, cost-effective system, validated through field trials and enhanced by contributions from four