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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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About the Opportunity As a Postdoctoral Fellow, the candidate will conduct research on the fundamental theories of signal processing and explore their applications in modern communication systems
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, Biomedical Engineering, or a closely related field, from an accreditied institution, with demonstrated expertise relevant to structural dynamics, sensing, signal processing, or data-driven analysis of physical
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: Required Qualifications Excellent verbal and written communication skills. Graduate research experience in Image Processing and Signal Processing or the use of Image Processing Output to assess disease
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Position Summary This position will be working with existing research staff and graduate students to research, develop, implement, and test novel signal processing and robotics software for applied
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-edge research in integrated sensing and communications systems. Develop novel theoretical frameworks, algorithms, and signal processing techniques for sensing and wireless communications. Publish
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, fluorescence) Computational skills for data analysis, signal processing, or simulation (Python, MATLAB ) Experience mentoring junior researchers Salary and Rank Special Instructions Applications
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
end, embedded electronics, and firmware. Develop and validate signal-processing and machine-learning algorithms that account for skin pigmentation, low perfusion, and motion. Work with UNC clinical
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Position Details Position Information Recruitment/Posting Title Post Doc Associate Department Biomedical Engineering Salary Details $63,968 or other negotiated minimum salary Offer Information The
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ongoing NIH-funded projects. The Voice and Speech Informatics (VSI) Lab develops computational methods that combine machine learning, computer vision, signal processing, and multimodal data analysis to