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• Develop, consolidate, and optimize fMRI and EEG neurofeedback algorithms. • Design, integrate, and test standalone neurofeedback software (software suites for clinical environments). • Contribute
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”) for reference data generation. Research developed in EMPIR project 15SIB01 FreeFORM on reference software and the generation of reference data for validating min-max and least-squares fitting algorithms
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Inria, the French national research institute for the digital sciences | Saint Martin, Midi Pyrenees | France | 3 days ago
Grenoble is surrounded by the Alps mountains, offering a high quality of life, and where you can experience all kinds of mountain related outdoors activities and more. Our team develops Melissa (https
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30 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire d'analyse et d'architecture des systèmes Research Field Computer science Mathematics » Algorithms Researcher Profile
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(TCCE) at the University of Nîmes. In return, the university will commit to providing an environment conducive to the development of research projects, which must focus on one or more of the following
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teams to contribute to the development of fundamental aspects of computer science (models, languages, methods, algorithms) and to develop synergy between the conceptual, technological and societal
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to monitor the evolution of the planet at various scales and develop models to tackle societal challenges on biodiversity, climate change, food security, water resources, etc. The laboratory also contributes
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 4 days ago
dedicated Engineers responsible for the actual implementations. Hence, your primary focus will be on the creation of sound algorithms and methods, ensuring their theoretical integrity and applicability
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Is the Job related to staff position within a Research Infrastructure? No Offer Description The researcher will use and further develop ptychography algorithms for transmission electron microscopy data
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creation of a database for the various pollution sensors with a view to training online (non-embedded) models in the first instance. - Development of a machine learning algorithm based on the study database