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Exactly: A Bayesian Approach. The project aims to address the challenges in pooling inference, by developing and implementing either exact or asymptotically exact Monte Carlo algorithms in collaboration
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experience Skills in using GEANT4/ Python/ LaTeX/ C++/ ROOT(CERN)/ Linux/ Monte Carlo simulation LanguagesROMANIANLevelExcellent LanguagesENGLISHLevelExcellent Research FieldPhysicsYears of Research
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. The project aims to address the challenges in pooling inference, by developing and implementing either exact or asymptotically exact Monte Carlo algorithms in collaboration with the Department
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– Carlos Alberto e Silva Venâncio, Assistant Professor at the University of Trás-os-Montes and Alto Douro; Effective Member – Paulo José Pinto Rema, Associate Professor with aggregation from the University