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especially looking for candidates with a background in Monte Carlo Event Generators, parton showers, neutrino-nucleus interactions, and machine learning applications in particle physics. The high energy
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generators. • Operate, support, and coordinate experiments involving D-D and D-T neutron generators. • Develop and apply Monte Carlo radiation transport simulations and machine-learning methods to
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Position Summary The TARDIS collaboration is actively applying and extending the Monte Carlo radiative-transfer open-science framework TARDIS (https://tardis-sn.github.io/) to model the physics of
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combination with Monte Carlo radiation simulation toolkits such as Geant4 and its application, GRAS (Geant4 Radiation Analysis for Space). ESA is a signatory member of the international Geant4
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characterization of germanium detectors, develop advanced Monte Carlo models and AI-driven analysis tools to optimize detector response, and to promote precision medical imaging and low energy dark
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(UV-visible spectroscopy, HPLC-DAD-CAD-fluorescence). • Analyze the experimental data and compare them with Monte Carlo simulations and, more generally, with data from the literature and from the
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: - Methodology development in wavefunction-based electronic structure methods, quantum Monte Carlo, tensor networks, or quantum embedding methods, etc. - ML-augmented numerical method
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Quantum Monte Carlo (QMC) techniques to describe both static and dynamic electron correlation, as well as the application of these methodologies within QM/MM approaches for the simulation of molecular
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interpretation; Experience in kinetic modelling: kinetic Monte Carlo or deterministic – Python/MATLAB/Fortran/C Sufficient communication skills in English – both oral and written. Living in Belgium or ready to
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hadrons and atomic nuclei. Of particular interest is the spectrum of quantum chromodynamics. Fundamental tools are Monte Carlo simulations, which are also successfully applied to strongly correlated