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working in collaboration with the UKRI GP4Streets team, you will use ecological monitoring techniques, spatial analysis and statistical models, to assess the biodiversity impacts of urban greening and
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Overview We have an exciting opportunity for a Wellcome-Trust-funded Postdoctoral Research Associate position in the research group of Professor Tanya Whitfield The overall aim of the Whitfield lab
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Process Induced Neural Networks for Environmental Data Analysis and AI for Data Adjustments Green Industrial Futures Centre for Doctoral Training (GIF CDT) PhD Research Project Directly Funded
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machine learning, and data collected from high fidelity experimental set ups, these complex interactions could be modelled with higher accuracy and transferred into the virtual world for testing and
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monitoring and control tools for increasing reliability, accuracy and productivity of metallic AM technologies. Develop and utilise AM process models at multi-scales. Utilise 3D Printers for polymer printing
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Future proof energy and materials feedstock resilience for sustainable aviation fuels supply chain Green Industrial Futures Centre for Doctoral Training (GIF CDT) PhD Research Project Directly
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Improving Deep Reinforcement Learning through Interactive Human Feedback School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Bei Peng, Dr Robert Loftin Application
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Machine Learning Methods for Enhancing Autonomy of Unmanned Aerial Vehicles in Wildfire Detection and Localisation School of Electrical and Electronic Engineering PhD Research Project Self Funded
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activity is therefore vital for the interpretation of neuroimaging data. With a unique combination of optical, electrophysiological and MR techniques in a rodent model we have previously explored