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control over the structure of the nanoparticles. For that purpose, temperature is a decisive external parameter driving the structure both during synthesis and during many practical uses, including cancer
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researchers on a structural, OpenScience, and world-wide level, and also help research on neurodegenerative diseases, types of cancer, mental health, and more, with not only early detection, biomarkers
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, annotate and analyse metabolomic data using dedicated pipelines (construction of molecular networks, querying spectral databases, in silico annotation, calculation of metabolic diversity indices). Contribute
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states. In addition, hybridization between electronic states from different layers can significantly change the electronic band structure and lead to new physical phenomena. In this postdoctoral project
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Normandy (Caesar Program) and aims to explore innovative mixed-anion compounds with complex crystal structures for efficient thermal energy conversion. Research Project: Thermoelectric materials directly
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electron microscopy techniques available at the IPCMS laboratory to investigate the structural and chemical characteristics of these innovative catalytic materials, as well as their evolution under thermal
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on the realization, characterization and measurement of the structural and transport properties of superconducting devices made entirely out of silicon. Superconducting Si thin layers will be realized by Gas Immersion
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of high-performance biobased and recyclable polymer and composite materials for applications such as spacecraft structures, insulation, lightweight components, and other space-related systems. The research
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an electrolysis cell. In particular, stability will be assessed using accelerated degradation tests, and the structural and morphological evolution of the catalysts will be monitored via physicochemical techniques
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of computational biology, protein language models, structural biology, and immunology. 🎯 Main Missions Build and curate large-scale antigen sequence datasets for training and fine-tuning protein language models