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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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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 4 days ago
, tests should adapt to observations as they are collected. Main references: Information Lower Bounds for Robust Mean Estimation (Degenne and Mathieu, 2025): https://arxiv.org/abs/2403.01892 The numeraire e
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for modeling materials to be printed. - Formulation and DLP printing of GelMA materials loaded with MIL-100 and SBA-15. Optimization of formulation parameters (GelMA concentration, inorganic particle loading
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and economy that respect people and their environment. We are looking for our future postdoctoral researcher in optimization for statistical learning to join the Image, Data, Signal (IDS) department
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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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the effects of these factors at the tissue level. The position will also involve simulating and optimizing complex models that integrate biological and physical data using advanced methods, such as physics
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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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/rDA). • Optimizing reaction conditions. • Assessing the generality of ihDA/rDA sequences. • Translating reactions into flow chemistry for real-time NMR monitoring (in collaboration with ANR SOFTNMR
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–activity relationships. Development and optimization of reaction conditions Optimization of photocatalytic protocols for selective reactions such as green hydrogen production or demethylation of biomass
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, Mesp1, E-cadherin, N-cadherin). • Mechanical analysis of tissues in collaboration with biophysicists from the team 3. Development and optimization of protocols • Generation of transgenic lines