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Field
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. ● Method Development: Develop and optimize analytical protocols for the detection of emerging contaminants, including both target and non-target analyses using LC-MS/MS, LC-HRMS, and GC-MS/MS
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performance of optimized industrial formulations; Computational simulation of materials and solutions using numerical methods; Preparation of reports and scientific papers for the dissemination of results. V
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performance testing (e.g., polarization curves, EIS). Design and execute experiments for materials optimization and degradation analysis. Maintain and operate laboratory equipment, including potentiostats
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synthesis, purification and characterization Electrochemical and photophysical studies Solar cell design and optimization Bibliography Writing of reports and articles The CEISAM lab federates research
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treatment experiments (e.g., calcination, roasting, smelting), and optimization of pyrometallurgical flow sheets for the production of value-added materials or metals.The selected candidate will contribute
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-resolution optical microscopy which enable a detailed analysis of these events, their sensitivity to biological and chemical interference, and will allow a rational optimization of specificity and affinity
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. ● Method Development: Develop and optimize analytical protocols for the detection of emerging contaminants, including both target and non-target analyses using LC-MS/MS, LC-HRMS, and GC-MS/MS
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, rental platforms, and production systems—where decision-making must balance conflicting objectives, leverage real-time data, and ultimately support sustainable profitability. Examples include optimizing
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algorithms to enhance the design optimization process Create predictive models using Python-based frameworks (e.g. scikit-learn, PyMC) to accelerate design iterations Integrate ML approaches with finite
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on the development of materials and processes and is divided into two axes. The first axis aims to improve the most promising state of the art cell materials by optimizing their compositions, microstructures and