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Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | about 4 hours 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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innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
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neuroscience or signal processing. - You have good communication skills in English (speaking French is not a requirement). Research environment: Research will be conducted at the Institute for Neurosciences
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FieldPhysics » AcousticsYears of Research Experience1 - 4 Additional Information Eligibility criteria - PhD thesis in acoustics, mechanics - Skills in structural acoustics, signal processing, antenna processing
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live in. Your role Conduct research related to the topics of the Signal Transduction Laboratory Participation in teaching activities at Bachelor and Master level (Co-) Supervision of master and PhD
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developed for GaAs-based heterostructures, to the new germanium-based material system. His/her work will include the fabrication of quantum point contacts, quantum dots, and quantum interferometers as
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to predict memory accesses and anticipate page faults. At present, it is almost impossible to execute AI models in kernel space, since floating-point operations—required by AI workloads—are not supported
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the relationship between the increase in atmospheric CO₂ concentration and its sequestration as carbonates, particularly influenced by microbial processes. It focuses on the formation of carbonate sludge in various
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here is the prediction of the composition of communities of marine entities (zooplankton, marine snow particles, and coral reef fishes) from environmental data taken around the point of the biological
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writing Preferred: Experience with MATLAB (especially for auditory modeling or signal processing) Familiarity with audiological data and test batteries Working knowledge of French is a plus Candidates