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at the University of Oslo. The position is placed in the Digital Signal Processing and Image Analysis group (DSB), Section for Machine Learning, Department of Informatics at the University of Oslo. The
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leader in the digital world. We are seeking an Assistant/Associate Professor to join the Signal, Statistics, and Machine Learning [ S2A ] team in the Image, Data, and Signal (IDS) department. You
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Your privacy, your choice We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media, as
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sensors; - Knowledge of scientific programming, preferably Python and/or MATLAB, applied to data processing, signal analysis, visualisation of results or development of experimental routines; - Experience
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, facial expression analysis, physiological signal analysis, log data analysis, agentic coding, operationalizing emotion across its components - Interest in or hands-on experience acquiring and processing
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your inbox. Create alert Similar jobs Professor in Artificial Intelligence (Centre for Vision, Speech and <b>Signal</b> <b>Processing</b>) Surrey, United Kingdom Full/Associate/Assistant Professor in Artificial Intelligence Macau, China COLCOM - Postdoctoral Position in Artificial Intelligence...
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CALIFORNIA INSTITUTE OF TECHNOLOGY (Caltech) - Chemistry & Chemical Engineering | Pasadena, California | United States | 10 days ago
Your privacy, your choice We use essential cookies to make sure the site can function. We also use optional cookies for advertising, personalisation of content, usage analysis, and social media, as
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applying ML in 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
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specialization are control systems; electric power and energy systems; electromagnetics, antennas and microwaves; electronics and mixed-signal design; physical electronics and photonics; and signal processing
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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 and