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together expertise in physics, chemistry, nanoscience, and materials engineering. For more information about IS2M, please feel free to visit the website: https://www.is2m.uha.fr/ . The PhD candidate (M/F
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, based solely on liquid precipitation, show their limitations here, as snow acts as a temporary reservoir and releases water to the ground according to specific dynamics. In addition, the frequency and/or
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of microbial activities, natural metabolites, and genomes. The candidate will work within the framework of a European project (MicroRescue: Resolving mechanisms of microbiome rescue to promote resilience
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Technologies INspiring Young scientists (DESTINY2, https://www.destiny-phd.eu/ ) is opening 24 doctoral positions hosted by universities, research centres, and laboratories in France (17), Spain (3), Germany (1
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congested architectures. For more information, visit my professional website: https://iscr.univ-rennes.fr/daniel-muller Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR6226-DANMUL-005
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. Through a rational, mechanism-based approach, we design novel transformations in homogeneous catalysis (organic and organometallic). The LCMCE is fully equipped to support the proposed project
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to the understanding of physical mechanisms underlying these complex plasmas. The laboratory team has extensive experience in both experimental and modeling of this type of plasmas. Thus the candidate will have existing
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Agriculture: Natural Language Interfaces over Robotic and Analytical Farming Systems In the context of the MSCA JD project GreenFieldData https://www.eu4greenfielddata.eu/ GreenFieldData: IoRT Data Management
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molecular mechanisms underlying CR function in humans remain poorly understood. We are seeking a PhD student candidate for the PatCorg ERC Synergy project, which aims to investigate how specific morphogens
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through migration and morphogens release in long range-patterning of cortical regions. However, their developmental origins and the molecular mechanisms underlying CR function in humans remain poorly