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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 13 days ago
distributed optimization with noisy communication channels, accurately study the selected algorithms, participate in the development and maintenance of the PEPit (https://pepit.readthedocs.io/ ) software
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | about 1 month ago
to research in computer science and mathematics. 400 R&D engineers support research scientists by developing software tools and platforms that help the research process and the experimentation. Spirals
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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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organisation and rigor; familiar with office softwares Specific Requirements Qualification (french "Concepteur" level) to handle laboratory animals (rodents) LanguagesFRENCHLevelExcellent Research
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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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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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, 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