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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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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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. Familiarity with analytical tools Skilled in setting up experimental systems and troubleshooting. Scientific rigor, teamwork ability, and good communication skills (English proficiency required; French optional
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, remobilization, or metabolic flux analysis. Familiarity with methods such as gas exchange analysis, root imaging, metabolomics. Excellent analytical, organizational, and communication skills. Ability to work both
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, metabolomics. Excellent analytical, organizational, and communication skills. Ability to work both independently and as part of a collaborative team. Please submit the following documents: Cover letter outlining
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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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catalysts before and after reaction Write reports and publications Skills: Mastery of fundamental knowledge in the field of heterogeneous catalysis Mastery of chromatographic and FTIR analytical techniques
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, Atmospheric Science, Engineering, or a related field. Strong background in emission inventories, air pollution source apportionment, and related analytical methods (e.g., receptor models, chemical transport
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advanced characterization methods of inorganic materials and their assemblies, ideally with a focus on battery materials. Demonstrated proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics
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assemblies, ideally with a focus on battery materials. Demonstrated proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics (MD) simulations, enabling the computational investigation