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: bioRxiv (2024), pp. 2024–09. Grenoble is the unique conjunction of a well-established university with world-class research groups, within a great mountain landscape. The LIPhy is a mixed research unit CNRS
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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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are seeking a highly motivated candidate, who will support a multidisciplinary project on signalling vulnerabilities in liver cancer and strategies to target cancer vulnerabilities with onco- immuno- therapies
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time post-doc position starting in November-December 2025 in the A*MIDEX Chaire d'Excellence-funded project “Nonstationary Models of Biological Signals” (NOMOS), Principal Investigator Prof. Anna Dudek
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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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, 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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neurobiology and signal transduction. LanguagesFRENCHLevelGood LanguagesENGLISHLevelExcellent Research FieldBiological sciences » BiologyYears of Research Experience1 - 4 Additional Information Work Location(s
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the Grenoble Observatory of Universe Sciences. It conducts theoretical and applied research on Automation, Signals, Images, Speech, Cognition, Robotics and Learning. GIPSA-lab conducts its research
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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