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microcontrollers (e.g., Arduino). Analysis and processing of biological signals Development of algorithms in Python for real-time signal processing. Extraction and analysis of multi-signal cross-frequency coupling
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26 Sep 2025 Job Information Organisation/Company CNRS Department Centre de Recherche en Informatique, Signal et Automatique de Lille Research Field Engineering Computer science Mathematics
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cartésiennes (géométrie point-X tokamak) et maillage non structuré Publication The position will be based at the M2P2 laboratory within the ITC team. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre
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an escalating pressure on fiber-optic networks. Optical fiber is a nonlinear medium because its properties change with the signal intensity. It is well known that the fiber nonlinearity limits the achievable
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). Conduct in vivo optical imaging experiments on healthy volunteers and patients; Develop image-analysis pipelines (Python, MATLAB) and model functional optical signals; Optimize and maintain the AO-RSO
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 28 days ago
variety of mathematical tools and algorithmic approaches (Continuous-Time Markov chains, Mixed-Effects modelling, Branching processes, stochastic simulation) as well as single-cell gene expression datasets
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gravitational lensing signal at quasi-linear scales, particularly with regard to rare events (specifically, peak distribution). The CDD will develop perturbative models for projects 1 and 2. To this end, he will
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Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | 2 months ago
physiological and neural recordings (EEG, fNIRS, ECG, blood pressure, and PPG) with advanced signal processing, mathematical modeling, and artificial intelligence. This project aims to provide new insights
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: bioRxiv (2024), pp. 2024–09. Grenoble is the unique conjunction of a well-established university with world-class research groups, within a great mountain landscape. The LIPhy is a mixed research unit CNRS
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on: Characterizing the CIC::DUX4 interactions using advanced biochemical and cell biology techniques. Deciphering the downstream signaling pathways affected by these interactions. Validating small molecules to inhibit