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. Multimodal Data & Sensor Fusion: Implement or accelerate processing and inference algorithms for real-time multimodal data, natural language, signal, and image processing. Integration of Large Language
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Biophysical and Biomedical Measurement Group - NIST | Gaithersburg, Maryland | United States | about 1 month ago
radiotherapy-relevant measurements. - Experience with statistical analysis, dose-response modeling, signal processing, internal standards/calibration, and uncertainty quantification. - Experience with
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dashboard and visualisation tools — all under close guidance from the project’s Research Fellow and Principal Investigator. Support biocomputational AI/ML development — signal processing, pulse waveform
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours 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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condensates that can sense, process, and respond to molecular signals. These systems provide a powerful platform for DNA computing and programmable signal processing. Possible project elements include
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in biomedical or electrical or mechanical engineering. 2. Has a working knowledge of LAB View. 3. Well-versed in MATLAB . 4. Decent knowledge in signal processing and Arduino programming. 5
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. Algorithmic background in image processing. Experience in signal/image analysis methods. Fluent spoken and written English. Strong motivation and passion for scientific work (theoretical, numerical
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fields, semiconductor electronics, photonics/optoelectronics and signal/image/video processing. Researchers have access to exceptional laboratory resources for design and simulation of electronic
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requirements : Bachelor degree in Electrical and Electronics Engineering or similar areas. Experience in programming (in MATLAB, Python and C), CST Studio modelling, 3D printing, signal processing
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field covered by the vacancy; b) Knowledge of physiological signal processing (e.g., ECG, EMG, EDA, EEG), including pre-processing and feature extraction; c) Proficiency in scientific