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. Demonstrated autonomy 2 to 5 years' experience in signal processing and observational seismology, ideally applied to environmental seismology. Where to apply Website https://www.aplitrak.com/?adid
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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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experience with lasers, LEDS, optical system hardware, clean room fabrication, electronic circuit design, optical engineering, signal processing, and data analysis. Visit our website for more information about
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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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equivalent to a doctoral degree. This degree must have been awarded at the latest by the point at which LiU makes its decision to employ you. It is considered advantageous if your doctoral degree is no older
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signal processing AI/ML for communication systems Self-supervised ML, meta learning PHY/MAC optimization of wireless communication systems Robust, reliable, or explainable ML Experience with large-scale
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 17 days 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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areas like healthcare, education, neuro-robotics, and/or assistive technologies. Prior experience in physiological signal processing (e.g., EMG, EEG, ECG) is an advantage. Familiarity with HCI principles
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Observation, and Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing
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approaches, including human perceptual experiments, machine learning, digital signal processing, and computational models of hearing. UConn has a vibrant neuroscience community, and there are opportunities