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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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-criteria, defining their formalization as fuzzy subsets, and characterizing their uncertainty; Integrating Machine Learning algorithms to better account for low-level sensor data (precipitation, wind-driven
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Qualities: Autonomy, rigor, initiative, teamwork Preferred Education and Professional Experience: Education: PhD in Thermics or Energy or process engineering Experience: Experimentation and/or modelling
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equipment. Where to apply E-mail job-ref-ils30dym81@emploi.beetween.com Requirements Research FieldEngineering » Civil engineeringEducation LevelPhD or equivalent Skills/Qualifications PhD in Rock Mechanics
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PhD in a related field); Expertise in qualitative research methods and the ability to conduct in-depth empirical investigations; Multidisciplinary theoretical knowledge in the humanities and social