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are seeking highly motivated candidates with a strong background in acoustics, audio engineering, signal processing, and related fields. The successful candidate will join an international research environment
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literature. Main responsibilities • Design, implement and optimize signal-processing, statistical and machine-learning algorithms for eye-movement (oculomotor) and voice/speech data. • Validate
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knowledge security. Please do not contact us for unsolicited services. Where to apply Website https://www.academictransfer.com/en/jobs/364394/phd-position-in-decoding-enviro… Requirements Additional
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an externally funded research program (45%) and teach courses (45%) in musical acoustics and psychoacoustics, sound isolation, recording, mixing, audio digital signal processing, audio effects development, sound
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address any obstacles they may be facing. Administer and proctor all examinations within the PhD process. Process dissertation certification paperwork for doctoral students and update the Graduate Group
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the operational state of buildings from acoustic and complementary sensor data. By combining multi-microphone acquisition techniques with additional sensing technologies, advanced digital signal processing and
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in the interplay between wireless systems and Artificial Intelligence. Experience with one or more of machine learning, wireless communications, signal processing, multimodal sensing, robotic
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | 1 day ago
possible and provide accommodations as required for applicants with disabilities. If you require any accommodations at any point during the application and hiring process, please contact uoft.careers
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: sound knowledge of themes of interest, such as EO, AI, ML, and technologies in general; knowledge relevant to your research field in SAR signal processing and algorithms; the ability to think outside
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experience. The EE faculty have expertise in a broad range of areas, including power systems, signal processing, communication systems, power electronics, embedded systems, design of organic cells, AI and