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order to meet the research and teaching challenges of UM6P, in particular on green and environmental chemistry applied to all aspects of chemical sciences: organic and inorganic chemistry, analytical
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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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Literature Survey & Case Definition Systematically review decarbonization technologies and cost–benefit frameworks in strip-mining mining. Define one or more representative strip-mine case studies; lead data
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levers to reduce costs and lead times. Develop strategies and risk management models to enhance the system’s resilience against logistical disruptions. Implement energy management approaches and CO
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mechanical, mineralogical, and rheological characterizations of MATs. Select and dimension an appropriate autogenous mill for pilot testing. Lead the design and execution of lab-scale autogenous grinding
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) prediction models to ensure the safety, efficiency, and longevity of lithium iron phosphate (LFP) batteries. Key Responsibilities: Develop and implement machine learning algorithms for SOC and SOH estimation
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teaching challenges of UM6P, in particular on green and environmental chemistry applied to all aspects of chemical sciences: organic and inorganic chemistry, analytical chemistry, chemical biology
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or heterogeneous catalysis and/or photocatalysis. Good expertise in the design of adsorption/catalytic reactors. Proficient in analytical techniques for adsorbent. catalyst and product characterization. Knowledge
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separation, or membrane processes. Strong knowledge of ion transport mechanisms and membrane behavior. Familiarity with analytical tools Skilled in setting up experimental systems and troubleshooting
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innovative solutions. Development of Advanced Systems and Methodologies: Design detection and dosimetry systems tailored to the specific needs of the phosphate industry. Innovate analytical methodologies