586 systems-science-"https:"-"https:"-"https:"-"https:"-"HFML-FELIX" PhD positions in United Kingdom
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The Photochemistry for Materials group is looking for an enthusiastic candidate to join our research team at the University of Warwick to carry out a 3.5-year PhD project, under the supervision
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on Tuesday 30 June 2026 Reference: PHD-GC-01 Acoustic Monitoring and Artificial Intelligence for Precision Assessment of Dairy Cattle Welfare Precision livestock farming is transforming how animal health and
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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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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
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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
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. The studentship will start on 1st October 2026. Project Description Project Aim To develop and validate an AI co-pilot software system integrating multi-modal radiomics data to enhance cancer detection speed and
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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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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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during tasks, ageing, or disease. A further key aim is to combine topological features from structural MRI and functional fNIRS to produce robust, interpretable biomarkers that have the potential