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and under the impact of the food supply chain, including food processing. In this context, the aim of the PhD project is to investigate the influence of drought stress on sulphur-containing plant
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Your Job: As a PhD candidate you will develop and deploy an artificial intelligence (AI) driven approach to streamline high-throughput experimentation (IMD-3: Institute of Energy Materials and
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knowledge in physical oceanography, climate change, Earth Observation, Big Data and data science as well as machine learning. This is an exciting opportunity to work on an exciting and ambitious project with
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Sh.24.3 PhD in Sound Analysis for Predicting Category 1 Ambulance Calls School of Computer Science PhD Research Project Competition Funded UK Students Dr Ning Ma, Prof Jon Barker Application
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Description of the offer : The main objective of this PhD thesis is to unravel the microscopic mechanisms by which the hydrogen affects the properties of intermetallic magnets. To achieve this goal
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Join us for this exciting self-funded PhD studentship on " Development of Sustainable and Cost-Effective Coatings to Mitigate Battery Thermal Runaway Propagation" in collaboration with
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degradation. You will lead research related to pilot-scale CO2 capture, but also fundamental research on innovating CO2 technologies from basic knowledge of physico-chemical properties, reaction kinetics
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food system to increase global production while promoting sustainability in terms of farmers' incomes, soil health, input use, and environmental and climate impact. Regenerative agriculture is a
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emissions and economy, there is limited knowledge on how this will affect the rate of degradation of the road infrastructure. You will conduct laboratory investigations, possible field work and numerical
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degree (or equivalent) in Data Science, Computational Biology, Bioinformatics, Computer Science, Physics or a related field Solid programming skills and knowledge in deep learning, statistical modelling