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of agricultural weeds to herbicdes from an eco-evolutionary perspective. This project will develop models for the evolution of herbicide resistance that combines field data and computer models. The aim is to
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Improving Deep Reinforcement Learning through Interactive Human Feedback
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data provision within the School. The postholder manages the administrative and reporting functions for all Triple Crown and programme accreditations, keeping abreast of changing standards and
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the application criteria in the application statement when you apply. Criteria Essential or desirable Stage(s) assessed at A PhD (or equivalent experience) in Engineering, Maths, Computer Science or another area
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for training followed by validation and testing on unseen datasets including local cases. Correlation of the computational features with other clinicopathological variables, behaviour and survival will also be
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preferences for them using birds as a model system. Capitalising on recent advances in computational neuroscience and machine learning, specific objectives are to (1) quantify common design features of avian
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, programme and budget. · Carrying out maintenance project works, identifying the requirements of departments and preparing a design brief. Preparing designs for minor works including specification and
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Decarbonising construction: Advanced spectroscopic approaches to understand nanostructural development and phase evolution in high-performance, low-carbon cements School of Chemical, Materials and Biological Engineering PhD Research Project Directly Funded UK/EU Students Dr Brant...
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Exciting Fully Funded PhD Opportunity: Novel Sealing for High-Pressure H2 and Low-Carbon Storage Technologies - Help Shape the Future of Clean Energy Storage! School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded UK Students Prof R Dwyer-Joyce Application...
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Overview Our postgraduate research student community plays a central role in the research life of the University. PGR students undertake their own programme of research, supervised by an academic