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New Block Copolymer Additives for Next-Generation Aqueous Inkjet Ink Formulations (C4-MPS-Armes)
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Zero-Knowledge for Quantum Proofs: Quantum Computation and Cryptographic Primitives (S3.5-COM-Abdolmaleki)
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Machine Learning-Guided Discovery and Experimental Validation of Novel Antimicrobials Against Pseudomonas aeruginosa (S3.5-MPS-Soukarieh)
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the research life of the University. PGR students undertake their own programme of research, supervised by an academic team, and also contribute to the wider research culture, output and impact of
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written reports, and contribution to academic publications. The post offers an opportunity to apply computer vision and remote sensing methods to pressing environmental issues and to work within an
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/ preparation of project and programme budgets, in collaboration with Research Engineers to ensure they are not exceeded and spent on relevant project items. Detailed management, control and reporting throughout
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organise and deliver an annual programme of staff engagement events Build strong relationships with stakeholders across the University to plan, coordinate and develop communications and projects Provide
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of agricultural weeds to herbicdes from an eco-evolutionary perspective. This project will develop models for the evolution of herbicide resistance that combines field data and computer models. The aim is to
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information with a high degree of accuracy and attention to detail and will have previously supported student or programme related processes. They will also be able to build effective relationships with staff
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Electron Beam Powder Bed Fusion Additive Manufacturing (AM) through the use of thermodynamic and process model informed edge compute closed-loop control systems. Focusing on thermal compensation within