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cosmology. Approximately 130 permanent staff members work at the LPNHE. The LPNHE's H.E.S.S./CTAO team is currently involved in simulations and H.E.S.S. data analysis, as well as in the preparation
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machine learning - Coding - Tests with simulations - Data analyses - Paper writing - Presenting results - Integration within the BioDiv team at IBENS - Availability of work
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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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-doctoral fellow will work within the framework of the project with the aim of both (1) performing Monte Carlo simulations (with established codes such as GEANT4, MCNP, FLUKA, or others) in order to project
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ingredients for Earth-like magnetic fields on millennial time scales in dynamo models. The research activities are two-fold. First, the candidate will run numerical dynamo simulations with various combinations
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, and includes the potential to become a co-founder of Lightspring. We are looking for someone with complementary skills in photonics, optical design, numerical simulations of photonic circuits
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, simulation, programming, automation, development and setup of scientific experiments, data analysis • Soft skills: adaptation skills, open and creative mind Website for additional job details https
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they interact in a bipartite network and with abiotic environmental changes - mathematical developments - coding - tests with simulations - data analyses - paper writing - presenting results
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Infrastructure? No Offer Description The postdoctoral researcher will apply the mathematical tools developed by the ANR TeMPlex project team to the study of simulated or observed hydrological dynamics, with
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to solving non-linear PDEs. Processing a simulation in this way has some advantages. The low numerical dissipation allows for accurate simulation of time-dependent flows, enabling sensitive applications