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Field
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requirements include: Proven track record of publications in IEEE Communications Society’s and IEEE Signal Processing Society’s journals and conferences. Strong background in communication theory, signal
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machine learning models directly on these edge devices for real-time anomaly detection and identification. You will develop robust signal acquisition and processing pipelines, translate research-grade
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22 Apr 2026 Job Information Organisation/Company ETH Zürich Research Field Engineering » Biomedical engineering Engineering » Materials engineering Engineering » Other Medical sciences » Other
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, integrate device engineering with clinical workflows, and apply artificial intelligence and machine learning for automated image and signal analysis, tissue classification, and real-time diagnostics
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9 Apr 2026 Job Information Organisation/Company Université de Sherbrooke Department Interdisciplinary Institute for Technological Innovation (3IT) Research Field Engineering » Materials engineering
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procedure is planned: interview, tests, etc ... Each phase of the selection process will be reported on the website where the offer is published. If applicable, indicate your request. Finally, the name of
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in IEEE Communications Society’s and IEEE Signal Processing Society’s journals and conferences. Strong background in communication theory, signal processing, machine learning, and optimization theory
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in Direct Ink Writing of Thermo-Electric Materials The Advanced Manufacturing Lab (am|z) at the Department of Mechanical & Process Engineering (D-MAVT) at ETH Zurich develops advanced manufacturing
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Post-Doctoral Associate in the Center for Interdisciplinary Data Science and Artificial Intelligence
); Relevant research experience in at least one of the following: Social Robotics, human-robot interaction, human-computer interaction, Machine Learning, Affective Computing, Social Signal Processing, Computer
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are now looking for a new employee in the form of a postdoctoral fellow in Electrical Engineering focusing on Circuit Design for signal conditioning in harsh operating conditions. Project description