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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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water from the soil, but they also require a number of major and minor nutrients. Among the factors that limit the energetic yield of photosynthesis to 0.1%, and thus the productivity of forest ecosystems
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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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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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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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Science and Society, but also by examining the truth of scientific theories (this is the role of the epistemologist) and the impact of putting them into practice (this is the role of the researcher in