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entitled “Beyond Data-Augmentation: Advancing Bayesian Inference for Stochastic Disease Transmission Models”. The overarching aim of the project is to develop the next generation of statistical tools
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physics-based insights with data-driven methods—such as physics-informed neural networks, surrogate models and Bayesian optimisation—to explain formation behaviour, identify early indicators of cell
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research objectives and proposals for own and/or collaborative research area. • Prepare papers for publication in leading journals and/or contribute to the dissemination at national/international
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outputs in this area with increasing degrees of autonomy. The group at CIRA studies a variety of accreting compact objects, from X-ray binaries to tidal disruption events, seeking to understand how
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will apply predictive, Bayesian modelling for predicting performance of microbial consortia based on mass transfer, metabolic pathways and proteomic analysis. The work plan will also include developing
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for Educational Measurement (CEMO). CREATE is an interdisciplinary Centre of Excellence funded by the Research Council of Norway with the objective to generate novel knowledge about how to reduce inequalities in