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properties. Confocal microscopy / microfluidics / microrheology, to link the structural remodeling of the gel to the reaction kinetics occurring within the material. The identified gelation and structuring
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synthesised in situ using a state-of-the-art pulsed laser deposition system. Key characterisations include X-ray diffraction for structural properties and temperature-dependent magneto-optical properties
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, in particular to forming brain and cardio-vascular structures. We now seek a post-doctoral researcher to test the hypothesis that exposure to mixtures of pthalate plasticizers and perfluorinated acids
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and data analysis related to structural studies to be carried out in situ and operando using diffraction techniques (X-rays, neutrons). The activities involve setting up diffraction experiments and
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formulations incorporating dynamic covalent bonds, (ii) supramolecular assemblies, (iii) macromolecular synthesis methodologies, and (iv) hierarchically structured polymers. Where to apply Website https
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by the CNRS, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 22 days ago
fields including health, agriculture and ecology, sustainable development. More information, please visit https://team.inria.fr/scool/projects Odalric-Ambrym Maillard is a permanent researcher at Inria. He
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experiments in second harmonic generation - Interpret the results Part of the work will be carried out at the Institut Néel: preparation of HP-HT experiments within the MRS (Materials, Radiations, Structure
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3d colloidal model system. Background information: https://paddyroyall.github.io/padrus/Work_amoeba.html Publications of interest : https://paddyroyall.github.io/padrus/Publications.html Systems in
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the flexibility and power of NNs with the ability of LMMs to robustly learn from structured and noisy (non i.i.d.) data, applying them on the prediction of both plants and human phenotypes. These models will