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Adversarial machine learning - Identification and prevention of cyber-physical attacks on infrastructure (S3.5-MAC-Champneys)
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Total Cost and Environmental Footprint of Metalworking Fluids (MWFs): Quantifying the Current Landscape and Scoping Next-Generation Alternatives (C4-AMR-Secker)
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BBSRC Yorkshire Bioscience DLA Programme: How do cells coordinate nutrient scavenging pathways?
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flares using the assumption of hydrogen recombination continuum emission, in place of a blackbody estimate. In parallel, but not in collaboration, Pietrow, Cretegnier, Druett et al. (2024) have advanced
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ACCE+ DLA Programme: Assessing the extent and drivers of illegal Selective Logging across Peru
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opportunities The student will join a team of postdocs, PhD students and technicians and will directly benefit from their hands on support and expertise. The student will use/learn cell culture, basic molecular
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A Machine Learning Enabled Physical Layer for 6G Radio Systems
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Azetidine Boronic Ester Building Blocks for Medicinal Chemistry (S3.5-MPS-Partridge)
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Next Generation Aero-Engine Sealing Technologies
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Explainable and Causal AI for Visual Analytics in Regenerative and Climate-Smart Agriculture (C3.5-COM-Cruz Villa-Uriol) School of Computer Science PhD Research Project Competition Funded Students