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in the areas of Communications, Antennas and Optical Networks, Systems and Control, Signal processing and Biomedical engineering, and Electric Power Engineering. We work with sustainable and smart
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robotic technologies. Assist in IRB protocol development and ongoing human subject documentation. Conduct electromyographic ( EMG ) recordings and signal processing to analyze motor control and performance
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trial focused on muscle-driven robotic technologies. Assist in IRB protocol development and ongoing human subject documentation. Conduct electromyographic ( EMG ) recordings and signal processing to
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researchers. Required knowledge Excellent in image/signal processing, and optimisation. Excellent in coding and writing. Medical imaging experience is desirable but not compulsory. Strong
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, Biomedical Engineering or a related field Expertise in sensor design and integration, preferably in wearable or biomedical devices. Familiarity with electrophysiological signal acquisition (EEG/EOG/EMG
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project. The alliance partner is Chalmers University of Technology, Electrical Engineering, Signal Processing and Biomedical Engineering Division. Responsibilities and qualifications Do you have a
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invites applications for a fully funded PhD position at ETH Zürich at the intersection of robotics, wearable sensing, signal processing, machine learning, and human-computer interaction. The goal of
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the developing of a test program for a state-of-the-art data converter, including the collection and processing of statistically relevant data.
The candidates should have a strong
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education are performed in the areas of Communications, Antennas and Optical Networks, Systems and Control, Signal processing and Biomedical engineering, and Electric Power Engineering. We work with
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, acoustic measurement technology, non-destructive testing based on acoustic methods, signal processing, and numerical modelling, with applications in, among other fields, biomedical engineering, civil