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(LPSC, http://lpsc.in2p3.fr ) is a mixed research unit, combining CNRS-IN2P3, the Université Grenoble Alpes (UGA) and the Grenoble INP engineering and management schools network, and gathering around 230
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of organoids in 96-well plates R and Python programming from YAML in VS Code Statistical analyses using mixed models Personal Skills The candidate should demonstrate: A genuine service-oriented attitude, good
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Inria, the French national research institute for the digital sciences | Villeurbanne, Rhone Alpes | France | about 2 hours ago
—capabilities that lie beyond conventional approaches. Your primarygoal within the project will be to transform a prototype software for differential network analysis into a professional Python package. This will
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entitlement, subsidised meals, transport discounts and optional French language courses. Where to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR7164-KEVVEL-059/Default.aspx Requirements Research
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numerical simulations and analytical calculations, (iii) data analysis by programming, e.g. python and matlab, (iv) help and guide of Ph.D students in the team, (v) writing research reports, publishing
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of Python and/or R for processing and analysing model outputs is also required. The candidate must also demonstrate a strong sense of initiative, particularly in fostering interactions with various
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, computer science, applied mathematics or a closely related field. - Programming experience (e.g. Python, R or similar). Solid knowledge of network biology, mathematical modelling and/or omics data analysis
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to apply Website https://emploi.cnrs.fr/Offres/CDD/UMR5521-CHAMEZ-004/Default.aspx Requirements Research FieldEngineeringEducation LevelPhD or equivalent Research FieldPhysicsEducation LevelPhD or equivalent
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 8 days ago
1389-1286, https://doi.org/10.1016/j.comnet.2026.112148 . [2] I. Alla, S. Yahia, V. Loscri and H. Eldeeb, "Robust Device Authentication in Multi-Node Networks: ML-Assisted Hybrid PLA Exploiting Hardware
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, including intracranial EEG (iEEG/SEEG), local field potentials (LFPs) and single-unit recordings. The position has a strong focus on scientific software development in Python, data engineering and signal