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-matter interactions, optical manipulation and computational modeling to transform innovative ideas and concepts into cutting-edge instruments and methodologies. Our RDI portfolio encompasses all levels
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! Education · PhD, graduated in polymer chemistry or polymeric materials. Experience and skills · Proven expertise in polymers synthesis and vitrimer materials · Knowledge of impact
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to contribute to the design and collection of future YSL waves and disseminate findings to relevant audiences. The successful candidate will join the YSL research team (two PhD students, one postdoctoral
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Pneumatic Tires, Structure-Process-Properties Relationships. As part of our Data Science strategic research program, we are looking for a Post Doctoral researcher with expertise in Knowledge Graph Engineering
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workshops, seminars and conferences Supporting a small team of PhDs related to the project Publication of articles in scientific reviews and contributions to conferences Assisting with teaching activities
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of two referees, with an indication of their links to the candidate (e.g., supervisor of the PhD thesis) Early application is highly encouraged, as the applications will be processed upon reception
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Applications should include: Curriculum Vitae List of publications and manuscripts in preparation (if applicable) Copy of PhD degree certificate, if available Cover letter including: Self-assessment
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The post-doctoral researcher will construct and use bespoke experimental apparatuses for inducing macroscopically patterned flows, including multiple vortices, of LCE precursors. Specifically, the set-ups should subject liquid crystalline as well as isotropic liquids, which may be highly viscous...
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Applications should include: A motivation letter A copy of the PhD diploma or a letter indicating the expected defense date A detailed curriculum vitae with a complete bibliography of published
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The successful candidate will join the Enzymology & Metabolism group, led by Prof. Carole Linster, which deciphers the cellular metabolism in rare and more common neurodegenerative or neurometabolic diseases. We exploit genomic and post-genomic data to fill gaps in metabolic networks, discover...