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CD3 is a new, multidisciplinary and multi-institutional strategic national research programme dedicated to using data to transform our understanding of cancer risk and enable early interception
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of Electrical Engineering and Computer Science School of Art and Design Course language German and English Financial support No Structured research and supervision Yes Research training / discussion Yes Career
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under the supervision of Dr Mehrdad Vasheghani Farahani from Department of Chemical Engineering, with co-supervision by Professor Ian Kinloch from Department of Materials. The successful candidate will
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, robotics, and machine learning. You will work within a multidisciplinary supervisory team spanning engineering, robotics, and computer science, and collaborate with researchers working on real-world
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., M.D., D.V.M.). The applicant should have a Ph.D. in cognitive neuroscience, neuroscience, biomedical engineering, computer science, or a related field. Expertise in analyzing intracranial
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for QUT's Doctor of Philosophy , including any English language requirements. Enrol as a full-time, internal student. Have a background in electrical, mechatronic, or biomedical engineering, expertise in
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technology. The PhD position is available for admission in October 2026. The studentship is fully funded for UK/EU/Overseas students for 4 years. Applicants should have the equivalent of a first (1) or upper
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, engineering, computer science, and applied mathematics, developing versatile skills that open doors to both academia and industry. Collaborative Environment – Work alongside leading researchers and industry
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of Mechanical, Aerospace and Civil Engineering. Tuition fees will be paid (at home rate) and you will receive a tax-free stipend set at the UKRI rate (£20,780 for 2025/26). We expect the stipend to increase each
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including the Ground Operations Laboratory in the Digital Aviation Research and Technology Centre (DARTeC), and the suite of facilities in the new Cranfield Hydrogen Integration Incubator (CH2i