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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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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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Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | about 1 month 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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Chaire d'Excellence-funded project “Nonstationary Models of Biological Signals” (NOMOS), Principal Investigator Prof. Anna Dudek. According to the requirements of this funding program, candidates should
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Nonstationary signals are at the forefront of modern statistical analysis, as many observed phenomena cannot be adequately modeled by stationary processes. The NOMOS project aims to develop a new generation of
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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
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, 1008-1019; Huang et al., 2023, Plant Cell 35, 3845-3869). PD closure and antiviral immunity depend on the plasma membrane-localised PRR coreceptor SERK1 and downstream SERK1-dependent signalling, further
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Cell division is an essential process for all living organisms. In plants, unlike in most
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FieldEnvironmental scienceEducation LevelPhD or equivalent Skills/Qualifications Remote sensing for Earth observation. - Knowledge of EO Time-Series analysis/change detection, radar signal processing, forest