130 structures "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions at CNRS in France
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composites (rheology, DMA, tensile testing, etc.) will then be studied in order to establish structure–property relationships. This work will be carried out within the Chemistry & Macromolecular Materials
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implement machine learning models dedicated to the prediction, interpretation, and quantitative analysis of Raman vibrational spectra, establishing explicit links between structure, local chemical environment
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filled. Shortlisted candidates will be invited to a remote interview in May 2026. About LAPTh (https://www.lapth.cnrs.fr ): LAPTh is a joint research unit (UMR) of CNRS and Université Savoie Mont Blanc
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, particle physics, and mathematical physics. The Astroparticle and Cosmology group (https://astrocosmolapth.com ) conducts research on cosmic large-scale structure, cosmic microwave and infrared backgrounds
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. The LPP is structured around three thematic research pillars: space plasmas, low-temperature plasmas (cold plasmas), and fusion plasmas. The Space Plasma group includes about 29 permanent researchers and
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the distribution and degree of mantle serpentinization, as well as its structural controls in the North Pyrenean zone. Numerical modeling of mantle-derived H₂ production within the North Pyrenean orogenic prism will
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techniques available at the IRCELYON and IFPEN laboratories. - Catalyst synthesis - Characterization of surface structure and reactivity, acid-base properties - Catalytic tests on model reactions - Kinetic
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of both the filament and the substrate, pressure, gas phase precursor composition) with the film chemical structure and the resulting optical properties will be carried out. The DC candidate will be trained
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producing PU dispersions from polyols synthesised from recycled waste cooking oils and optimising the formulations for applications such as varnishes and paints for the construction industry. - Development
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language models to whole genome sequencing data - Develop algorithms and neural network architectures for the prediction of structured outputs (i.e. trees, graphs) - Implement and develop methods