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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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-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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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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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 functional significance of data obtained from transcriptomic analysis. Data from this PhD studentship will be fed back into the main project informing which cell types should be targeted for optimal
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) project. You will learn, develop and validate multiscale computational models to predict bone adaptation over time in osteoporotic patients and help optimizing their personalized pharmacological and