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main objective is to carry out research and to contribute to the development of high energy physics from a theoretical, experimental and technological point of view. IFAE has the status of a “University
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on population change objectives. It will also provide a better understanding of what data needs to be collected (and the related sampling plans) to address these issues. To meet these objectives, the project will
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, using dynamic Bayesian networks to understand, propagate and reduce uncertainty in their assessments. The research will apply models of distributed situation awareness and ecological interface design
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-objective, real-time) and supply-chain optimization; PdM and RUL with health monitoring; digital twins/smart factories, cross-site transfer and federated/edge learning; uncertainty estimation and calibration
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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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, and model evaluation. An understanding of epidemiologic principles, arboviral transmission dynamics, MCMC and Bayesian modeling, and prevention/intervention design. An understanding of data acquisition