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, optimize, and operate bioreactors, digesters, and other equipment. By employing advanced techniques like sensitivity analysis and process simulations, the candidate will improve yields and energy efficiency
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mining waste deposits (MATs). This project integrates mineralogical and mechanical characterization, pilot-scale testing, and advanced process simulation, with the objective of optimizing grinding
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, FactSage) to simulate vanadium phase behavior and guide process improvements. Performing advanced characterization of vanadium-bearing materials to understand their transformation and recovery mechanisms
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dynamic models. Model complex interactions between physical systems (infrastructure) and digital systems (software, platforms). Develop decision-support tools based on simulations for public and private
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-support tools for decarbonizing mobile mining equipment. You will join an international multidisciplinary team. You will apply simulation, multi-objective optimization, and data-driven analytics to evaluate
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material intralogistics handling alternatives such as trolley-assist systems, battery-electric trucks, and in-pit crushing & conveying (IPCC), combining life-cycle analysis, and dynamic simulation
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assaying root – soil chemical interactions and imaging for simulation of soil health indices Contribution to the design of regenerative cropping systems and ameliorants particularly nanomaterials that can
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pyrochimical processing of oxide, sulfide, or silicate ores. Familiarity with thermodynamic simulation software (e.g., FactSage, Thermo-Calc, etc). Previous involvement in industry-oriented or collaborative
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regarding the production of targeted crops in Africa, work with the project team and valorize data as review publications. Develop and implement simulation models to predict yields from secondary data sources
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Machine Learning models for quality prediction and control of phosphate ore. Simulating and evaluating various extraction scenarios, considering industrial constraints. Collaborating closely with field and