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Job Posting Title: Digital Signal Processing (DSP) Engineering Scientist - GNSS ---- Hiring Department: Applied Research Laboratories ---- Position Open To: All Applicants ---- Weekly Scheduled
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-efficient wideband signal processing and programmability to accommodate different use cases are becoming essential. Increasingly, overall system performance is no longer limited solely by the front-end, but
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and machine learning, digital health, and advanced signal processing, with applications in healthcare, autonomous systems, industry, and energy. Through interdisciplinary research, we contribute
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, Wiener, RMS, LMS, etc.) Acquaintance with digital signal processing techniques used for tuning, filtering, and sampling RF signals Experience in software-defined radio IQ data processing and acquisition
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, Wiener, RMS, LMS, etc.) Acquaintance with digital signal processing techniques used for tuning, filtering, and sampling RF signals Experience in software-defined radio IQ data processing and acquisition
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health, pharmacy, public health or health information management, or a related field, such as digital health, health informatics or psychology, with demonstrated experience in health settings Demonstrated
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family of microcontrollers and embedded systems design; modelling and simulation using MATLAB/Simulink; signal theory and digital signal processing, including time-domain, statistical, and spectral
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indicate their intent in their application materials in the cover letter. For this position we seek candidates who will leverage advances in AI, automation, digital twins, and sensing to transform
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problems, recognise gaps in existing regulation and make use of signals from outside established institutions? Regulatory tools and processes: How can research access, public procurement, prototyping and AI
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Hazards, or (5) Self-Learning Digital Twins for Climate Adaptation and Critical Infrastructure Management. Our tenure and promotion process values collaborative research and teamwork. Hires will be mentored