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involve conducting bioinformatic analyses of existing RNA-sequencing and whole-genome DNA methylation datasets from wild and hatchery fish populations. Depending on securing additional funding, there may
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. To minimise material and energy wastage, digital models of the manufacturing processes can be developed and linked to process control and optimisation. State-of-the-art digital models and AI tools
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product-derived antiviral molecules to treat viral diseases such as SARS-Cov-2 (COVID-19) and influenza A (Seasonal flu). This timely and exciting project is a collaboration between researchers based in
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key post‑award processes including purchasing, supplier setup, financial reporting, and monitoring project expenditure, ensuring the project runs efficiently and remains compliant with funder and
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Practice or Paediatrics, in the research theme of Primary Care and Community Care Post 2 Renal Medicine or Clinical Radiology or Trauma & Orthopaedic Surgery, with no set research theme For Public Health
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regeneration, resulting in significant energy penalties and limited operational flexibility. This project proposes a novel biomass-based negative emissions process that leverages the reversible CaO/CaCO
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The Computer Vision Group is looking for an aspiring PhD to investigate multi-agentic AI, LLMs, and VLMs applied to agricultural sciences. Currently, established AI models often fail to generalize
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academic staff, students, and technicians in animal handling, diet feeding, and the setting up and operation of feeding and monitoring equipment, along with sample collection, processing, and data collation
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), produce a flue gas with a high concentration of CO2 that allows easier sequestration without energy-intensive preprocessing. However, production of oxygen is an energy-intensive process. Industrial scale
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recognised as a critical pathway for net-negative emissions but current systems are energy-intensive and inflexible. This project proposes a novel biomass-based negative emissions process using the reversible