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selectivity is already being studied in the laboratory using approaches based on the functionalization of sensitive membranes. Original contributions expected: Software approaches involving the development
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-Performance Computing for Exascale" contributes to the design and development of numerical methods and software components that will equip future European Exascale and post-Exascale machines. This program is
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the supervisory team: Quentin Jouet (Montagne bleue, lead developer of FloeDyn) and Dr Jérôme Weiss (CNRS, ISTERRE, Grenoble). The dynamics of sea ice is governed by a set of mechanical processes and complex
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, teamwork • Ability to respond to challenges • Dealing with confidentiality • Efficiency with office software /Behavioral skills : • Self-learning and interpersonal skills • Excellent communication skills
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have excellent skills in analyzing human behavior and be proficient with experimental and data processing software (E-Prime, Matlab, R), statistical analyses including linear mixed-effects models, as
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in the process of collecting. In fact, the experiment has recently removed its hardware trigger and is relying on a purely software-based trigger system, in order to maximise its efficiency in
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analysis and software skills (python and astropy) • teamwork abilities • fluent in English • Experience in data analysis in a neutrino experiment and in astronomy analysis in X-ray/gamma-ray observatories
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, various digital tools have emerged to address these needs: mobile apps, training software, and communication aids (Oussama et al., 2021; Phosanarack et al., 2025). Although promising, these technologies
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software; analysis of existing image databases and new datasets. - Selection and tagging of deep aggregates (ROV): protocols to be defined with the PhD student; participation in data acquisition. - Analysis
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maintenance and trouble-shooting, documentation, as well as the development of processing software for advanced measurement products. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UAR636-MARCAS