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. The Institut is hosting more that 120+ research groups and 31 core facilities across 13 departments. The Biomaterials & Microfluidics core facility is at the forefront of organ-on-chip (OoC) technology
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information carriers. This proposal, aims to establish Matter-Wave Information Engineering: a framework in which nonlinear matter-wave excitations are treated as programmable quantum resources, and artificial
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IT policy. The assignment may begin at the TERRanis facility, which is a 2-kilometer bike ride from CESBIO Additional Information Selection process Apply via e-mail to: [email protected] et
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This 2-year, full-time postdoc, starting January 2027 (or as soon as possible thereafter), is part of a French National Research Agency (ANR) funded project, UniGEM (Unified Inference for Genomic
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Engineer/Researcher - Management and Engineering of Scientific Data Applied to Risks M/F
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, aims to design, develop, and validate an AI-powered digital twin model addressing key challenges in Health Research. It is a digital copy of the human body trained to identify missing scientific concepts
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2 Oct 2026 Job Information Organisation/Company IMT Mines Ales Department Human Ressources Department Research Field Engineering » Civil engineering Researcher Profile Leading Researcher (R4
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French National Institute for Health Research (INSERM) | Lille, Nord Pas de Calais | France | 3 months ago
. Experience with Python scientific libraries, including Pandas, NumPy, PySpark, Dask, and TensorFlow. Familiarity with Big Data technologies such as Hive, Spark SQL, or similar distributed computing frameworks
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LanguagesFRENCHLevelBasic Additional Information Work Location(s) Number of offers available1Company/InstituteUniversité de CaenCountryFranceGeofield Contact State/Province Normandie City Caen Website http://www.unicaen.fr
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Plasmodium genomic data analysis; see https://mrc-ide.github.io/PGEforge/. Data partitioning: The 24,409 analysis-ready samples will be extracted and partitioned into subsets by country (since this is the most