586 systems-science-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" PhD positions in United Kingdom
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years Eligibility Fee status: Home Duration *: 4 years 1st Supervisor: David MacManus 2nd Supervisor: Pavlos Zachos Opportunity Reference No: CRAN-0065 This is a fully funded PhD (fees and bursary) in
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Collaborative Systems research team in the School of Engineering at the University of Birmingham, working within a world-leading robotics environment with access to state-of-the-art robotic platforms, sensing
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. Entry requirements The minimum entry requirement is 2:1. Either biology or related subject; or a quantitative degree e.g. Geophysics, Natural Sciences and Physics. Start date: 1 October 2026 Additional
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. Cranfield is an exclusively postgraduate university that is a global leader for transformational research and education in technology and management. Research Excellence Framework 2014 (REF) has recognised 81
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-world engineering systems Experience working with high-fidelity simulation and real engineering data Opportunities to publish in leading journals and present at top international conferences Excellent
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electrical engineering and data science. The role is for the third intake of the EnerHy programme which commences in October 2026. Research project overview: This role offers an exceptional opportunity for a
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for applicants with a degree in Computer Science, Mathematics, Physics, or Engineering. Prior experience in AI is necessary. Prior experience in tomographic imaging and medical physics would be advantageous but
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of a cytotoxic drug are attached to an antibody via chemical linkers. The antibody component binds to the antigen on a tumour cell, after which the cytotoxic drug is released to kill the tumour cell
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This 3.5-year PhD project is fully funded by industry, and home students are eligible to apply. The successful candidate will receive an annual tax-free stipend set at the UKRI rate (£21,805 for
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Data is more valuable than oil, so it has been said. Quantum computing offers new unusual datasets thereby presenting new opportunities for AI approaches. Quantum computing is raising the prospect