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lithic technology; experience with Mesolithic or Neolithic assemblages is a major asset. • Proficiency with standard office software, GIS (QGIS), databases and digital documentation workflows; knowledge
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all members of the project (researchers, post-doctoral fellows, PhD students and interns) and contribute to the smooth day-to-day running of the laboratory. The position is based in Montpellier (IRD
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(https://endomic.github.io) aims to develop artificial intelligence and statistical-learning methods capable of identifying robust and clinically meaningful disease endotypes from heterogeneous, multimodal
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experimental PhD in physics, optics, or engineering. The position is available immediately. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR9001-RAFCOL-015/Default.aspx Work Location(s
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or Engineering degree in Computer Science Solid background or experience in data management and AI Strong software development skills Strong writing skills Additional Information Work Location(s) Number of offers
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part of the IPHC's Department of Analytical Sciences (UMR7178, CNRS / Université de Strasbourg), and comprises around fifty permanent and non-permanent staff (researchers, engineers, PhD students
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, PhDs, and Engineering degrees). These programmes are available through initial training,continuing education, work-study formats, or various accreditation pathways, both on-site and via distancelearning
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embodied neuroAI. Led by Jean-Baptiste Masson (DR, theoretical physicist), with deputies Christian Vestergaard (CR), Alex Barbier-Chebbah (CR), and François Laurent (IR, applied mathematician and software engineer