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Environmentswithin the EC Horizon programme. The project includes 21 partners in 5 countries coordinated by Tampere University. The UK team includes the University of Sheffield, Sheffield Hallam University and
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. You will play a key role in a new project using big datasets and innovative computational approaches to identify genetic regions regulating splicing and gene expression, and investigating how disruption
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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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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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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
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net zero. https://greenindustrialfutures.site.hw.ac.uk/the-programme/training-programme/ Project: The automotive industry faces significant challenges in reducing CO2 emissions during the painting
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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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Next generation modelling for the pharmaceutical industry
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Overview This post is funded by the Quantum Computing Hub (QCI3) supported by the Engineering and Physical Sciences Research Council (EPSRC). The QCi3 Hub is part of Phase III of the UK’s Quantum