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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
model, both variational estimators and Monte Carlo samplers have been designed and implemented during the pandemic to estimate the reproduction number of the Covid19. The major bottleneck
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approach that includes cross-section calculations, the development of Monte Carlo codes, and the advancement of the NanOx model for biological dose prediction. As part of a collaboration with the University
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: proficiency in Monte Carlo simulation codes, such as GEANT 4 or PENELOPE. Bayesian statistics. • Laser polarisation system: appetite for experimental physics, experience with lasers not required but would be a
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collaboration, dedicated to the direct detection of dark matter. They will contribute to various activities including data taking, data analysis, and Monte Carlo simulations. The candidate will be involved in
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reactor physics (neutronics, etc.) - Be proficient in using Monte Carlo-type neutronics codes - Be able to work in a team within the context of varied collaborations - Be experienced in software development
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that polymers exhibit universal behavior for length scales larger than the local scale size of their monomer units. This has motivated the study of coarse-grained generic models, using Monte-Carlo and molecular