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, Environment & Globalisation’. As general concept in scentific communities and civil societies, heritage is a key factor in understanding the social, cultural, environmental and political transformations taking
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computational models and machine learning methods, as well as experience in repertoire data analysis. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR8023-CLAMAR-001/Default.aspx Work
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postdoctoral researcher to join our group at the Institute of Genetics and Development in Rennes (IGDR), France (https://igdr.univ-rennes.fr/en ). Research in the Cyclochondria team led by Giulia Bertolin (https
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material and extracts. He or she will also contribute to the processing, annotation and analysis of the metabolomic data obtained.The project will thus establish a reference resource for the study of plant
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Autonomy in carrying out individual scientific and artistic research. Teamwork in working collectively in pedagogical and outward facing research program with strong engaged and/or artistic component. Social
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and physico-chemists interested in molecular structures, working on their design, synthesis, characterization, reactivity and analysis in various environments. The expertise of the Institute is based
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of the catalysis reactions by SERS Data analysis Dissemination of the research results (publications, participation to international congresses...) Participation to the consortium meetings Visits and exchanges with
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. Opportunities to collaborate with leading experts in molecular computing and DNA-based technologies, in France and Japan. Relevant publications: https://blog.espci.fr/guillaumegines/publications/ The successful
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. The position has a strong experimental component and offers opportunities for technology transfer and collaboration with industrial partners, including extended periods of work with Exail in Bordeaux
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cellulose. In the context of replacing plastic materials and leveraging biomass as a renewable resource, the goal is to develop green chemistry pathways for modifying cellulose—the primary component of