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ExperienceNone Research FieldTechnologyYears of Research ExperienceNone Additional Information Eligibility criteria PhD in applied physics, optics, biomedical imaging, or a related field; Strong expertise in
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FieldTechnologyYears of Research Experience1 - 4 Additional Information Eligibility criteria The candidate should hold a PhD in optical imaging, scientific instrumentation / applied physics / biomedical imaging, or a
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operations of chemical (mixing process in deep bed reaction systems), petroleum (oil-water separation systems), and biomedical industries (drug delivery encapsulating system) as well as in environmental
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Eligibility criteria PhD in Applied Physics, Optics, Biomedical Imaging, or a related field; Strong expertise in experimental optics and optical instrumentation; Proficiency in image processing and data
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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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LevelPhD or equivalent Skills/Qualifications Holder of a PhD degree in physiology, biomedical sciences, bioengineering, imaging, or related field, you have a first research experience (research engineer
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-doctorat-en-imagerie-computat… Requirements Research FieldEngineering » Biomedical engineeringEducation LevelPhD or equivalent Skills/Qualifications Minimum education and/or experience required: PhD in
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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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biological signals. The project will focus mainly on developing innovative models for biomedical signals with irregular cyclicity and exploring potential machine learning applications. Position Objective
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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