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: • Developing and optimizing DGT passive samplers for simultaneous monitoring of PFAS, antibiotics, and biocides • Designing and conducting laboratory experiments (performance tests, kinetics, microcosms
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to guide the selection of optimal functionalization strategies. Simulating gas adsorption (CO, O₂, H₂, NOₓ, etc.) on ND surfaces to predict binding configurations and IR spectral signatures, enabling
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quantification of pigments and binders. The work will include the generation of simulated spectral data based on physical models, the training and optimization of machine learning models, and their validation
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the fabrication is validated or not for every step. This task will require the capability to propose a flow chart and an advanced knowledge and expertise/autonomy of all steps that can be done in clean room
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km far, but public transportation exists for connecting both places. Planning on the researcher work will be provided beforehand in order to optimize his/her displacements. The post-doctoral research
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epidemic data, with the aim to increase our understanding of how pathogens spread in populations, assess the impact of interventions, support policy making and optimize control strategies. Our approach is
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skills (Matlab, Python, C++) are a significant asset. •Knowledge of artificial intelligence techniques and associated optimization algorithms would be appreciated. •Good knowledge of English (working
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an optoelectronic process for 980 nm high-power diamond laser diodes. In this context, the role of the LSPM is to provide polycrystalline diamond layers 2 to 4 inches in diameter with optimized mechanical
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for synthesizing electrospun membranes tailored to the requirements of our research and development projects. - Optimize synthesis parameters to enhance membrane performance in terms of selectivity, permeability
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hemp fibers produced in southern France for textile applications - Understanding and optimizing crucial processing steps." The TAFFTA project, which began in January 2024 and will run for 42 months, aims