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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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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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partners, and monitoring budgets. Required Qualifications : PhD: A PhD in digital public health, urban health, data science applied to health or urban planning, smart urban systems, or a related field
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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
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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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under investigation. Job Description: The position is open to candidates with a PhD or equivalent in a relevant discipline from a recognized university. Applicants must demonstrate that their doctoral
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their thermophysical properties. Proficiency in computational fluid dynamics (CFD) simulation of thermal energy storage systems, enabling the modeling and analysis of heat transfer, fluid flow, and thermodynamic
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materials relevant to thermal energy storage, including conducting structural characterizations and studying their thermophysical properties. Proficiency in computational fluid dynamics (CFD) simulation
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mining. Qualifications PhD (awarded or imminent) in Industrial Engineering, Operations Research, Mining Engineering, or a related discipline. Strong track record of publications in simulation, optimization
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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