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. The successful applicant will use a variety of imaging and computational image analysis techniques to generate a 3D morphometric atlas of post-embryonic stages of otic development in the wild-type zebrafish, with
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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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Electron Beam Powder Bed Fusion Additive Manufacturing (AM) through the use of thermodynamic and process model informed edge compute closed-loop control systems. Focusing on thermal compensation within
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phenomena. The project will contribute to numerical method development as well as new understanding of flow physics and will make use of high performance computing (HPC) and advanced computational fluid
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will primarily support the Head of School (Professor George Panoutsos, Chair in Computational Intelligence) and his research activities in the area of Machine Learning (ML) for Engineering, focusing
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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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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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collaborate with researchers at Ludwig Maximilian University, Munich and Centre Algatech, Trebon, Czech Republic, as part of the Synergy research programme. The aims of the Sheffield part of the Synergy
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Improving Deep Reinforcement Learning through Interactive Human Feedback