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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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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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within and aligned to the core substantive spine of our undergraduate Politics and International Relations programme. The School provides an inclusive, pluralist and friendly place to work. We are also
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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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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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at application and interview] Desirable criteria Ability and willingness to take on education leadership roles [assessed at application and interview] An active programme of scholarly activity related
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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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Next generation modelling for the pharmaceutical industry