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ideal opportunity to join international research programme bridging across disciplines between soil science, analytical chemistry, and geobiology. The post will contribute to the strategic goals
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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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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
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delivery of student experience as students progress through their programme journeys, from welcome and transition to graduation. You will set the annual schedule of key activities and lead developments to
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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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maintaining project plans and work breakdowns. Develop and maintain systems and databases for monitoring the intellectual property (IP)emerging from the programme and for monitoring IP in closely related
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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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Programme application process In collaboration with the relevant Trusts and CTT, ensure rooms students are allocated to all placement and teaching events: determining student groupings; checking and
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the application of cementation to the immobilisation of radioactive wastes, to reduce the hazard posed by the potential release of radioisotopes to the biosphere. Design and implement an experimental programme to