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• Research experience in microbiology and/or microbial ecology of terrestrial ecosystems (soil and plant) • Proficiency with standard microbiology and molecular biology tools (nucleic acid extraction, qPCR
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16 Nov 2025 Job Information Organisation/Company CNRS Department Institut de biologie moléculaire des plantes Research Field Biological sciences » Botany Biological sciences Technology
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://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed by the team: https
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Champagne to reconstruct climatic variations and field fertilization practices. Isotopic analyses (δ15N and δ13C) on plant remains from Bronze Age, Iron Age, and Ancient sites (wheat, millet, barley
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plant species have been shown to partially compensate for recent temperature increases by shifting upslope, while the combined effects of climate change and bark beetle outbreaks have led to widespread
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11 Nov 2025 Job Information Organisation/Company CNRS Department Institut de biologie moléculaire des plantes Research Field Biological sciences » Botany Biological sciences Technology
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, soil, and plants aid in the collection of real-time data directly from the ground. Based on these historical data predictive machine learning (ML) algorithms that can alert even before a problem occurs
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suspensions re-search group of the Physics Institute of Nice (INPHYNI), where a pulsatile pipe flow has recently been built. She or He will further benefit from close interactions with research groups working
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—identifications, biographical notices, textual corpora, and unpublished works. This effort aims to provide complete, sustainable, and interoperable access to data covering the period 1350–1500. The researcher will
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analytical and bioinformatics tools to analyse and interpret data - To establish workflows for the collection and analysis of samples, human stem-cell-derived brain organoids, and to develop experimental