62 structures "https:" "https:" "https:" "https:" "https:" "University of Hamburg" uni jobs at CNRS
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. Wide-field coherent anti-Stokes Raman scattering microscopy using random illuminations. Nat. Photon. 17, 1097–1104 (2023). https://doi.org/10.1038/s41566-023-01294-x The project is part of an H2020/ERC
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to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR7644-ALASUB-004/Default.aspx Requirements Research FieldPhysicsEducation LevelPhD or equivalent LanguagesFRENCHLevelBasic Research
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the network, as well as with academic and non-academic partners. General information about the CLIMES project is available at: [https://www.climes.se/climesdn/ ](https://www.climes.se/climesdn/ ) All working
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within SSµBs though temperature cycles, benefiting from a bioinspired behavior encoded into their chemical structures, and (vi) enabling a physical parameter (Temperature) to control and regulate the State
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motivated to acquire new skills. Candidates must be fluent in English and/or French with scientific writing skills. The doctoral contract will take place at the CRISMAT laboratory (https://crismat.cnrs.fr
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the physical origin of forces in driven-dissipative quantum superfluids. Group Website : https://photonlattices.eu/ Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant/UMR8523-CLEHAI-001/Default.aspx
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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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construction, ii) the managers of the different models involved, and iii) other postdoctoral researchers focusing on complementary modeling aspects (specific analysis of soil carbon models and work on crop
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) to analyze the structural, morphological, and surface properties of h-BN nanosheets (both pristine and functionalized). Map the distribution of functional groups and correlate it with reaction parameters (time
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collaborators The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at