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students in horticultural techniques using skills and knowledge to implement and interpret experimental work. Advise researchers on the optimal cultivation techniques and growing conditions for
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Incorporating social preferences into public health policy decision-making using evolutionary multi-objective optimization and multi-criteria decision modelling approaches
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systems. This project aims to understand how cells in the central nervous system efficiently fill space during development -a process critical for optimizing functions like sensory information processing
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-time and therefore maintain an optimized printing process robustly in the face of variations in feedstock materials and/or the required output. This will be achieved by developing novel printing
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accepted all year round Details Model predictive control (MPC) is a popular advanced control technique that solves a constrained optimal control problem, on-line, at each sampling instant. The first control
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and optimizing 6G networks especially in the Physical Layer. It will help the network adapt to different situations, like crowded stadiums, manufacturing sites or remote villages, making sure there is
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strategy across infrastructure, software and data environments, ensuring optimal design and deployment to solve business problems. Lead the design of resilient, reliable and sustainable technology services
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Overview How does the brain stabilise neuronal activity to ensure optimal information encoding? Andrew Lin’s lab at the University of Sheffield is seeking a Research Associate to study these
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the invaluable chance to collaborate with LV Prasad Eye Institute (LVPEI) in India by exploring their optimized 3D corneal ex vivo models. Entry Requirements: Candidates must have a first or upper
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, the TME is often hypoxic and nutrient deprived. This drives adaptations in cancer cells, allowing them to thrive in this sub-optimal environment. Our lab has recently demonstrated that breast cancer cells