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the "Machine Learning and Gene Regulation" team led by William Ritchie, specializing in bioinformatics and post-transcriptional regulation. The scientific environment at the IGH — international seminars, journal
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/ ), the Première Ligne project aims to develop a continuous process for converting lignin under hydrogen pressure to produce valuable oligomeric molecules. This project is being carried out in collaboration between
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skills. - Familiarity with GWAS, population genetics, or bioinformatics pipelines are a plus. - Experience with the processing of genomic biological data (whole exome or genome sequencing) is a plus
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and important criteria for candidates ** Required: - a master degree or an engineering degree in computer science or in computational bioinformatics with strong emphasis on algorithms - ability
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demonstrator for a Mott memory nanocrossbar based on the chalcogenide materials GaV4S8 and NiS2. It includes the development of a fabrication process for the integration of innovative nanoelectrodes, as
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6 Jan 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique de Grenoble Research Field Biological sciences Computer science Mathematics Researcher Profile First Stage Researcher (R1) Country France Application Deadline 26 Jan 2026 - 23:59 (UTC) Type of...
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Réactions et Génie des Procédés) in Nancy (University of Lorraine – CNRS), within a research environment recognized for its expertise in Process Systems Engineering (PSE) as well as in applied thermodynamics
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tailored for these missions. This PhD opportunity is fully funded as part of the ECHOES ERC project. The primary objective of this PhD is to develop and validate innovative post-processing techniques
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initiatives to incorporate the multiplicity of relationships between humans and reefs; ■ Analyze data to extract socio-ecological trends at different scales; ■ Publish peer-reviewed scientific articles based
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of Membranes (IEM) and MSSA, this project aims to understand the formation mechanisms of specific compounds in an industrial process. The study will rely on a combined approach of advanced characterization