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Field
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high-fidelity simulation environments and Monte Carlo frameworks to validate estimation and tracking algorithms. Perform statistical analysis of algorithm performance, uncertainty quantification, and
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on simulating nanoalloy structures to create a database for materials characterization. The main tasks include running molecular dynamics and Monte Carlo simulations to model nanoalloys under various
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groups in theoretical and experimental particle physics and astrophysics. The successful candidate will conduct research on precision calculations for high-energy collider experiments and Monte Carlo
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of precursor transport, heat distribution, the nucleation, and growth of thin films in atomic layer deposition (ALD) reactors. The range of simulations focuses on finite element methods and can include Monte
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of research include diagrammatic calculations, quantum Monte Carlo methods, density matrix renormalization group and tensor network states, and artificial intelligence and neural networks, with a particular
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(ALD) reactors. The range of simulations focuses on finite element methods and can include Monte Carlo based simulation approaches and continuum modelling. Verification of simulation results against
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particle phenomenology and with expertise in perturbative QCD, Monte Carlo generation tools, machine learning techniques, LHC physics, collider neutrinos, feebly interacting particles or other aspects of BSM
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radiation and using Monte Carlo simulation software (MCNP, GEANT4). Knowledge of multi-element analytical techniques (PIXE, XRF, ICP-MS). Valorization of Industrial Waste: Experience in developing processes
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on computational and theoretical condensed matter physics. Areas of research include diagrammatic calculations, quantum Monte Carlo methods, density matrix renormalization group and tensor network states, and
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Qualifications: Experience developing software related to the numerical solution of radiation transport (Monte Carlo or deterministic) and/or computational fluid dynamics. Experience using one or more scientific