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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 the manipulation of most of those instruments; Experience in the use of academic databases (CCDC, RCSR, ...) and softwares (Material Studio, Diamond, Origin, ....); Evidence of experience in adsorptive or/and
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(CCDC, RCSR, ...) and softwares (Material Studio, Diamond, Origin, ....); Evidence of experience in adsorptive or/and membrane separation technologies. Applications must be submitted online in a single
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. catalyst and product characterization. Knowledge of process modeling software (e.g., Aspen Plus, COMSOL, or equivalent) is a plus. Excellent written and oral communication skills in English. Ability to work
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software tools related to materials/process modeling, thermochemical systems, statistical design (DoE), and data analysis. Excellent verbal and written communication skills. Solid understanding
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tools (CPLEX, SAP). Experience with data analysis software. Soft Skills Analytical mindset and attention to detail. Ability to manage priorities and work under pressure. Excellent communication skills and
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related to the project. Candidate Profile Strong proficiency in software tools related to materials/process modeling, thermochemical systems, statistical design (DoE), and data analysis. Excellent verbal
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trials based on experimental design. Contribute to the numerical modeling of beneficiation circuits (e.g., using USIMPAC or similar software). Analyze, interpret, and report the outcomes of simulations and
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researchers. Required Skills Nuclear Instrumentation and Advanced Detection Techniques: Proficiency in detecting ionizing radiation and using Monte Carlo simulation software (MCNP, GEANT4). Knowledge of multi
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of process modeling software (e.g., Aspen Plus, COMSOL, or equivalent) is a plus. Excellent written and oral communication skills in English. Ability to work independently and as part of a multidisciplinary