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will also be expected to spend time at the University of Heidelberg, particularly for conducting biochemical approaches. He/she will use standard software, and if necessary, software developed in
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insertion materials immobilized in the tanks. The use of these insertion materials will increase the energy density of these batteries and, consequently, potentially reduce their size. These materials will be
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2026, DOI: 10.1002/advs.202522243; Caron et al., BiorXiv 2026, DOI: 10.64898/2026.03.17.712317). The postdoc will be supervised by Dr. Giulia Bertolin, CRCN CNRS, and will work on the use of genetically
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versatility of the size and redox properties of the f-block elements. The second objective is to use these ligands to promote the formation of multimetallic assemblies in which the metal atoms are close enough
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of individual charges in real time. Researchers will use advanced germanium-based materials with exceptional quantum properties to pioneer new methods for manipulating quantum states. The anticipated outcomes
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perceive use of algorithmic pricing deserves more investigation. This project pursues three interrelated objectives: (i) to analyze firms' incentives to adopt pricing algorithms and how algorithmic features
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use numerical models to interpret and predict mechanical behavior. - Carry out a cross-analysis of experimental, microstructural, and numerical results. - Disseminate scientific results (publications
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supervision of the platform manager. The successful candidate will interact closely with platform staff, research teams within the laboratory, and external partners. Employment Conditions and Benefits - Full
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scientific nature/publication list (do not include entire scientific paper/book chapters etc.). Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR5563-DELROU-018/Default.aspx Work
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culture and/or molecular biology is required. Experience with in vivo models is also desirable. As the use of animal models is planned as part of the project, the candidate must have completed training in