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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 1 month ago
personalization algorithms. The project will leverage EvidenceB's extensive deployment infrastructure to work with authentic large-scale educational data and validate innovations in real classroom settings. In
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institutes and centers. The Data and Democracy Research Lab is a unique interdisciplinary team combining expertise in mathematics, algorithm design, geospatial data, and public policy. Members of the lab
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26 Nov 2025 Job Information Organisation/Company CNRS Department Institut de Recherche en Informatique de Toulouse Research Field Computer science Mathematics » Algorithms Researcher Profile First
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interfaces, application databases, algorithms, etc. Assist with design reviews. Work with quality control teams to optimize testing techniques. Provide technical guidance and mentoring to program teams. Track
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, Effects, and Criticality Analysis (FMECA), functional FMECA, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault
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in their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will be part of the Environmental
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project’s principal investigator, Associate Professor Lars Rohwedder, an internationally recognized expert in the areas of approximation algorithms and parameterized algorithms, see https://larsrohwedder.com
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 29 days ago
component to conceive novel setups and collect data to compare with simulations. Where to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-09688 Requirements Skills/Qualifications
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visualizations and reports, and contribute to the development of predictive models and algorithms. The Data Scientist will be responsible for developing and adapting data collection and analysis methods
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successful candidate should have excellent study results and a strong background in mathematics. The applicant should be skilled at implementing new models and algorithms in a suitable software environment