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/1qx5sh5sxjki1ivmnqvbr/JHM_PDA_092826.pdf?rlkey=tjei3tmocexxesccofble867f&st=og3o855s&dl=0 REQUIRED : PhD in a field of quantitative science; strong background in machine learning and signal processing; experience with
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/JHM_PDA_092826.pdf?rlkey=tjei3tmocexxesccofble867f&st=og3o855s&dl=0 Job Requirements REQUIRED : PhD in a field of quantitative science; strong background in machine learning and signal processing
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, and collaborative Postdoctoral Fellow to join our team and conduct research focused on physiologic waveform analysis, biomedical signal processing, and computational modeling of continuous clinical
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and multisensory XR at the intersection of acoustics, signal processing, XR, and human perception. You will develop and evaluate physics-based and data-driven audio rendering methods within the
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research project you will work on the intersectional area of antenna design, circuit design and signal processing to investigate novel nonlinear multi-antenna transmitters that overcome these
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well as to allow video information to be shared for both marketing, analytics and editorial purposes. By accepting optional cookies, you consent to the processing of your personal data - including
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field; Experience with EEG signal processing and study design; Statistical analysis skills for brain analyses; and Strong communication skills and ability to work both within a team and independently
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development of advanced sensor systems, from the physical fabrication of flexible printed circuit boards (FPCBs) to the implementation of machine learning algorithms for real-time signal analysis. The
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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
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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