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Field
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candidate will work on cutting-edge research integrating genome-scale language models (GenSLMs) with deep mutational scanning data, and experimental virology to predict viral evolution and identify emerging
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In Vitro Predictive Models to Explore Tendinopathy”. The project is funded by the Medical Research Council (MRC) and part of the organ-chip research work underway within the Centre for Predictive in
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and consider the hybridization as a mechanism enhancing this response. Up to now, hybridization has never been incorporated into the predictive models and little is known about the implications
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oceanography. The position is part of the EU-project EPOC (Explaining and Predicting the Ocean Conveyor) and will address Greenland-Scotland Ridge exchanges with a focus on Iceland-Faroe overflow and transport
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around the identification of small molecules using mass spectrometry data, and the use of language models to predict the existence of undiscovered small molecules that are likely to be observed by mass
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include the development of integrated modelling approaches to better predict the effects of habitat modifications. This should provide significant benefits by allowing assessment of development and
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, · quantifying uncertainty in causal links, · integrating the resulting models into neural networks (or other machine learning models) to detect and predict anomalies or anticipate failures. The research
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assessment models and evaluate the nutritional quality of foods. Build risk-benefit assessment models to quantify and predict the health impacts of new food products. A central case study will explore
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results and conduct analytical modelling and numerical simulations (e.g., finite element modelling) to support experimental findings and predict performance. Independently implement and execute the research
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and computational studies of mechanics of materials, with an emphasis on fracture prediction. In addition, the postdoc will contribute to and/or lead manuscript preparation and project reporting