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materials as an addressing these challenges. A large experimental research programme is now attempting to explore these materials further and develop them for use in devices. To underpin this research we need
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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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/groups of students and programme directors. Undertake module evaluation, including facilitating student feedback, reflecting on own teaching design and delivery; and implementing ideas for improving own
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lead and perform research in these areas, who will have practical experience of blast experimentation, underwater blast loading, and demonstrable computational modelling experience in a relevant area
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Improving Deep Reinforcement Learning through Interactive Human Feedback
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computer program that will compute the cohomology of arithmetic groups for GL(2) over a definite rational quaternion algebras together with Hecke action. The second objective is to use this program to carry out
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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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parallel processing of powdered feedstock benefits from precise control over material microstructure and offers improved part functionality in a wide range of applications. The successful applicant will have
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legal requirements. Commit to the training programme to develop the skills in a range of scientific techniques and the correct operation of basic laboratory equipment to successfully assist others in
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and solutions that will support UK industry to reach net zero. https://greenindustrialfutures.site.hw.ac.uk/the-programme/training-programme/ Project: The field of environmental data analysis has seen