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Explainable and Causal AI for Visual Analytics in Regenerative and Climate-Smart Agriculture (C3.5-COM-Cruz Villa-Uriol)
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Azetidine Boronic Ester Building Blocks for Medicinal Chemistry (S3.5-MPS-Partridge)
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Adversarial machine learning - Identification and prevention of cyber-physical attacks on infrastructure (S3.5-MAC-Champneys)
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techniques across molecular and cell biology, neurophysiology and computational analyses. The successful candidate will join the laboratory of Professor Ivana Barbaric (School of Biosciences, the University
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to the goals of the national Quantum technology programme. Funding Notes This project is for self funded students or students who have secured external funding only. References https://ldsd.sites.sheffield.ac.uk
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AI-Driven Facial Movement Analysis for Early Stroke Identification in Pre-Hospital Settings (S3.5-COM-CChen1) School of Computer Science PhD Research Project Competition Funded Students Worldwide Dr
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BBSRC Yorkshire Bioscience DLA Programme: Life and death in the age of vancomycin: visualising how Clostridioides difficile survives antibiotic treatment at the single cell level.
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-month full-time training programme in the Fusion Engineering CDT at the start of the course (October to December inclusive). CDT training will be delivered across the CDT partner universities at Sheffield
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the Booster Neutrino Beamline at Fermilab, USA. Each detector in the SBN programme utilises the liquid argon time projection chamber (LArTPC) technology. The main goal of the SBN programme is to address a
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collaboration with Rolls-Royce plc, this project will use a new Ni-based superalloy as the primary demonstrator system to create a new paradigm for accelerated materials discovery. The program is situated