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on the incorporation of rye in broiler diets is required. This PhD project will continue the research on rye from the ongoing PhD project “Understanding and improving the feeding value of rye for broiler chickens
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novel sensing approaches to combine with machine learning algorithms to solve real-world problems in food manufacturing. You will have sound knowledge in electronic engineering, embedded systems design
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This forward-looking PhD project merges performance science with advanced data analytics and machine learning to further enhance performance prediction in elite rugby union. The successful candidate
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maintenance at UKRI Rates (£20,780 in Session 2025/26) plus £600 enhancement per annum. This is an AHRC WRoCAH funded Collaborative Doctoral Award between the School of English, University of Leeds and Ripon
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of Arts, Languages and Cultures sits in the Faculty of Humanities, part of the University of Manchester, and is located in the vibrant and diverse city of Manchester. The principles of equality, diversity
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. Specific requirements of the candidate Applicants should have a strong background in cryptography, FPGA design, or embedded systems. Experience with hardware design (e.g., Verilog/VHDL), post-quantum
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Funding: Home (UK) and EU citizens who have confirmation of UK settlement or pre-settlement status under the EU Settlement Scheme The project: Acquiring high-quality footage in challenging
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Reference: RD-PHD-01-DM-MH-25 Project Title: Optimum strategies for UK beef producers to achieve net zero Primary supervisor: Daniel May Co supervisors: Karl Behrendt and Jude Capper Expected Start date and
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Supervisory Team: Hywel Morgan, Dan Spencer and Franklin Nobrega (Biological Sciences) PhD Supervisor: Hywel Morgan Project description: Antimicrobial resistance is expected to become a primary
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well as membrane embedded and encapsulated proteins. To do so, the student will develop methodologies for lipid vesicle formation, including bulk techniques such as water-in-oil emulsions, and microfluidic systems