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and disease and apply this knowledge to the development of new and innovative clinical practise, alongside providing a rigorous academic programme for students. About the role Dr Seaborne’s group
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together with industrial partners? Do you like supervising students and participating in teaching? If you are a creative and analytical person and have a PhD in a field related to mathematical modeling and
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to the development of new and innovative clinical practise, alongside providing a rigorous academic programme for students. About the role Dr Seaborne’s group investigates the molecular and cellular mechanisms
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insights into computational models and help build open-source tools and resources that will support future research in historical semantics and NLP. You will be responsible to the Principal Investigator and
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, computer-aided decision support systems Previous experience with using deep learning models (e.g., convolutional neural networks, autoencoders, transformers) for academic research Documented experience in
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, computer-aided decision support systems Previous experience with using deep learning models (e.g., convolutional neural networks, autoencoders, transformers) for academic research Documented experience in
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resilience framework. The post requires modelling expertise combining Material Flow Analysis, Life Cycle Assessment and value chain modelling. The project will explore the complex set up of critical minerals
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in a computational model of paranoia may be influenced by THC administration or in support-seeking participants under sober conditions. The postholder will collect a range of psychopharmacology
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processing. The Structured and Stochastic Modeling Group, headed by Prof. Filip Elvander, conducts research in statistical signal processing, ranging from investigating fundamental properties
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role in an interdisciplinary research programme that uses human induced pluripotent stem cell (iPSC) derived neuronal and glial models, multi-electrode arrays (MEA), and multiomic approaches to dissect