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evaluate the performance of a simplified uniform correction model assuming water-equivalent tissues. This preliminary work could combine Monte Carlo simulations with experimental validation using
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algorithms using Monte Carlo simulation and Bayesian inference to distinguish normal tritium losses from suspicious discrepancies during transport, and to develop statistical thresholds that balance detection
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finalization of the foundations of dual-tracer imaging using a GATE-based Monte Carlo simulation Implementation of the developed algorithms within our modular, C++-based and cluster optimized PET image
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Researcher from the University of Trás-os-Montes and Alto Douro Effective Member – Maria Cristina Morais Researcher from the University of Trás-os-Montes and Alto Douro Effective Member – Carlos Afonso
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skills (in English), passion in using AI and an innovative mindset are essential. Excellent knowledge of Monte Carlo simulations using Geant4 is a big advantage. Mastery of C++ and python will be
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duties will include proposing, preparing, and conducting Monte Carlo simulations of meson production reactions and multi-pion background processes. The candidate will also be directly involved in future
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: · Experience with neutrino data analysis, MeV-scale nuclear reactions, nuclear data evaluation, and/or uncertainty quantification techniques · Experience in developing physics event generators and/or other Monte
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and Alto DouroCountryPortugalState/ProvincePortugalCityVila RealPostal Code5001-801StreetQuinta de Prados, PortugalGeofield Contact State/Province Trás-os-Montes e Alto Douro City Vila Real Website http
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Requirements Additional Qualifications – Experience with Monte Carlo simulation software toolkits (i.e. Geant4, MCNP, FLUKA etc); – Knowledge and experience in Solid State Physics; – Experience in Radiation
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 1 month ago
finalization of the foundations of dual-tracer imaging using a GATE-based Monte Carlo simulation # Implementation of the developed algorithms within our modular, C++-based and cluster optimized PET image