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EEG signals, and combine these scalp with intracranial (thalamic) recordings in the NHPs for unravelling thalamocortical circuits in perception. Activities will involve setting-up the experiments
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tools capable of integrating, modeling and interpreting this wealth of information. It is in this context that artificial intelligence (AI) approaches, particularly deep learning, offer considerable
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software that integrates with the Gammapy framework, enabling the integration of public data from current Cherenkov telescopes and the future CTAO. The successful candidate will ensure that the software can
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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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project. This project focuses on developing high-efficiency III-V/Si tandem solar cells by integrating gallium arsenide (GaAs) layers on low-cost, abundant crystalline silicon (c-Si) substrates
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bioaccumulation of organic molecules in ecosystems. IC2MP has the capacity to globally integrate the key steps of a chemical compound transformation process by providing scientific and technological solutions, from
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machine learning - Coding - Tests with simulations - Data analyses - Paper writing - Presenting results - Integration within the BioDiv team at IBENS - Availability of work
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to take a step back in the analysis and interpretation of results - Availability, rigor in work, strong communication skills, and ability to integrate into a team Additional comments N/A Website for
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sensitivity of OECT is crucial. Multi-variate data analysis on co-integrated multi-materials micro-sensor array will be performed. Although the methodology is generic and low cost, the main challenge will lie
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-tested code. * Coordinate cross-site integration within an ANR project consortium (Lyon – Marseille -Strasbourg) involving laminar MEG (Lyon), laminar NHP electrophysiology (Marseille), and computational