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the opportunity to work in the vibrant and highly collegial research environment for which SMG is renowned. Background REVOLUPHON is an ambitious project in computational cognitive science, cultural evolution and
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/statistical modelling, ideally related to phylogenetic method development. Working knowledge in genomics, evolutionary biology, cancer biology, or population genetics is desirable. Experience in programming is
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positive contribution to this project through their knowledge and experience in materials processing and characterisation, in particular: Ink or slurry formulation and characterisation Printing or coating
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OpenFOAM. The research aims to fill important knowledge gaps related to the upscaling of hydrogen energy applications. You will build on the in-house HyFOAM solver, which has been modified within the frame
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poxvirus immune evasion and translate that knowledge into therapeutic strategies. The post is funded by MRC with funds available for this contract in the first instance, although applications for further
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modelling of hydrogen fire and explosions using OpenFOAM. The research aims to fill important knowledge gaps related to the upscaling of hydrogen energy applications. You will build on the in-house HyFOAM
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in talking to candidates who can make a positive contribution to this project through their knowledge and experience in materials processing and characterisation, in particular: Ink or slurry
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in Python, OpenCV, PyTorch and deep learning are essential. Experience of computational linguistics, C/C++/C#, TensorFlow would be beneficial. Knowledge of Sign language and awareness of Deaf culture