271 security-"https:" "https:" "https:" "https:" "U.S" PhD positions in United Kingdom
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energy demand. Combining applied mycology, food safety modelling, precision agriculture and Net Zero energy systems, the research will deliver energy-efficient, data-driven grain storage solutions
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intervention portfolios. Stakeholder preference rankings derived through inverse reinforcement learning and constraints related to compliance, safety, cost, and equity will guide policy learning, ensuring
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holder’s interest and expertise. This could include statistical/decision-analytic modelling with application to research questions relating to the health and safety of blood donors. It is anticipated
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role involves designing and integrating real-time software algorithms with robotic hardware, including perception, control, communication, and safety modules to enable safe, precise, and reliable remote
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pretrained models, where parameter-efficient methods must balance erasure guarantees against model utility Unlearning as an AI safety primitive — exploring how federated unlearning can contribute to removing
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) This PhD project aims to define evidence-based, task-specific colour vision requirements for mainline train drivers and other safety-critical rail staff. The research will focus on colour-dependent visual
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available to cover research and training costs, conference attendance, etc. Due to funding restrictions, applicants not eligible for UK home fee status will only be considered if they can secure additional
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. This work will therefore be crucial in contributing to a new generation of diagnostics that may have implications for food security and conversation. The successful student will explore innovative synthetic
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have implications for food security and conversation. The successful student will explore innovative synthetic biology approaches to develop rapid, low-cost, and field-deployable tests for detecting
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postharvest drying energy demand. Combining applied mycology, food safety modelling, precision agriculture and Net Zero energy systems, the research will deliver energy-efficient, data-driven grain storage