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identification Title of post : Postdoctoral researcher in biology Type of contract : Fixed-term contract Category (A,B or C) : A Contract/project period : One year Expected date of employment
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Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | 10 days 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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. The postdoctoral candidate will investigate how viral dsRNA produced in cytoplasmic virus replication complexes could be sensed in the apoplasm and how MPs could act to inhibit dsRNA sensing or downstream processes
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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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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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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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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
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following skills: Strong interest in the field of neuroimaging, psychiatry and genetics. Computer skills: Strong level in the main informatics software (FSL, Freesurfer, fMRIprep) and coding languages (R
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the first mutations in the NLGN-NRXN-SHANK pathway, which has a key role in synapse formation within the brain. Our results highlight the genetic heterogeneity of autism, but also point at common biological