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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 1 month ago
GOOSE (Generic Object-Oriented Substation Event) transmission of trip signals and circuit breakers state chages). The aim of this study is to develop intrusion detection methodologies for process bus in
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Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description
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analysis and visualization, signal processing, and ideally machine learning. • Working knowledge of Distributed Acoustic Sensing (DAS) and its applications in seismology (appreciated). • Aptitude
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FieldPsychological sciences » PsychologyYears of Research Experience1 - 4 Additional Information Eligibility criteria • PhD in neuroscience, computational neuroscience, signal processing, biomedical computing, applied
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methods for the processing and analysis of signals, images, videos, and discrete data, addressing theoretical, algorithmic, methodological, and practical challenges. Several of these methods are applied
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wind tunnel experiments, flow measurements, or aerodynamic testing is an asset. Skills in data acquisition systems, signal processing, and experimental analysis. Ability to work in a collaborative and
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investigates previously uncharacterized motif-mediated protein–protein interactions that play crucial roles in biological processes such as cell signaling and cancer. The successful candidate will contribute
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signal/image processing, computer science, applied mathematics, or a related field, obtained less than 3 years before the date of hire. Essential skills, knowledge and experience: Excellent command
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of Research ExperienceNone Additional Information Eligibility criteria - PhD in Medical Imaging, Biomedical Engineering, Signal Processing, or a related field. - Strong expertise in MRI physics, preferably in
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range Adapt codes using these lines to subtract the stellar activity signal as accurately as possible Test these codes on a diverse set of M dwarf data from HARPS/NIRPS and SPIRou/SOPHIE Analyse and