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candidates SDL4 - Polymers for materials science and biological applications SDL5 - Formulations for pharmaceuticals, consumer products, and coatings SDL6 - Biocompatibility with organoids / organ-on-a-chip
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modeling of polymeric, reinforced, and porous materials, with strong expertise in large deformations and numerical homogenization. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR7649-JULDIA
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NIST only participates in the February and August reviews. The fire modeling community is actively working to develop the tools needed to quantitatively predict material and product flammability
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between the polymer matrix and carbon nanotubes in nanocomposites. In the first phase, a critical review of the literature will be carried out on numerical and experimental methodologies used to investigate
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from a hydrophilic A block in water, a selective solvent for A. Conventional strategies for preparation of self-assembled polymer nanostructures involve synthesis of a diblock copolymer in a non
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on model surfaces In situ and operando (surface) X-ray scattering studies of catalyst/polymer interfaces Design, optimization, and testing/benchmarking of reactors for in situ and operando studies
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., hydrogels, polymers, structured tissues), with applications in biomedical engineering, soft robotics, and more broadly in adaptive multiphysics systems. The developed models will be physically based and will
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: 1116179 Position Summary Successful candidates are expected to work on molecular design and theoretical modeling of soft materials as well as their applications in healthcare and sustainability
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environmentally-friendly hydraulics. The aim of this project is to improve the understanding and the ability of designing aqueous lubricants based on polymer solutions in water. The main objectives are to study the
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Technologies, ORCID: https://orcid.org/my-orcid?orcid=0000-0001-7930-1751 Topic Description: Smart textile technologies are rapidly advancing, making the formation of conductive tracks directly on textile