7 augmented-workers-using-smart-robats-in-manufacturing-cell PhD positions at University of Exeter
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plants. Members of all three groups utilize highly wettable, wetness-'activated' slippery surfaces to catch insect prey in modified, cup-shaped leaves. The unusual wettability of these surfaces is based
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the Internet of Things (IoT), where networked sensors and actuators enable real-time adaptation to environmental changes. Consider a self-adaptive IoT network such as a smart home that autonomously manages
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research group with a broad interest in plant biomechanics, ecology, development and evolution. A supervisory team comprising a plant scientist, a cell biologist and a physicist, as well as two postdocs with
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with an interdisciplinary team, including academics from the University of Birmingham, Newcastle University, University of Cambridge, National University of Singapore, and industry experts. Candidates
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an important role in the efficient integration and management of solar energy in modern power systems. The studentship project aims to develop a novel PV forecasting model based on physics-informed neural
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will use large genomics databases such as the UK Biobank, a collection of 500,000 individuals including genetic and healthcare records. The project is a data analysis project – from day to day you will
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on health and use economic methods to evaluate relative costs and benefits. This may include use of health impact assessment methods, statistical analysis of secondary data sources to estimate health impacts