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theory. Proficiency in Python for rapid prototyping, data analysis, and potentially using libraries for network science (NetworkX) or agent-based modelling. Flexibility to travel and engage fully in
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related to staff position within a Research Infrastructure? No Offer Description Postdoctoral Researcher – Automated Correlative Image Analysis for BlueMaterials Reference code: 958 - 2026/MB 1 Work
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characterisation of water quality from grab samples collected in the project’s pilot distribution networks, e.g. through dissolved organic carbon analysis and UV–Vis and fluorescence spectroscopy; Application
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control hardware to ensure proper operation of all components of the systems are functional (including door contacts, request to exit devices, readers, the actual lock, power supplies, encoders, network
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PhD Studentship: Green vs. Non-Green Innovation: The Role of Regulatory Policies and Market Dynamics
Business majors, they should demonstrate a clear interest in finance or economics. A strong quantitative background—particularly in mathematical modelling, statistical analysis, or computational methods—is
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simulations. To elucidate the amplification mechanisms underlying the experimentally observed transition, the authors conducted a resolvent analysis, providing new insights into the subcritical amplification
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genetics, with strong bioinformatics/quantitative skills (e.g., in the analysis of NGS data). The work will involve the analysis of archival biological material from past experiments and ongoing
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, Organization and Interdisciplinary approach. Good skills in numerical methods and statistical analysis is required, very good English (written/spoken). Where to apply Website https://emploi.cnrs.fr/Offres
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Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Postdoctoral Research Associate: Mathematical and Topological Foundations of Knowledge Analysis in the Science of
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background to next generation power electronic conversion and related measurement in pursuit of Carbon Net Zero? We are seeking motivated interdisciplinary researchers to join the Electrical Energy Management