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contributing to the design and development of advanced models, algorithms, and AI‑driven systems for renewable energy microgrids and data centers. The Research Assistant will work closely with laboratory
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Switzerland. Develop a prototype hardware implementation of different signal processing algorithms on FPGA, optimized to significantly improve the resolution of real-time energy measurements made by the ATLAS
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. In addition, we will explore the possibility of using LIDAR sensing to strengthen the semantic SLAM pipeline. The developed algorithms will be integrated with the perception pipeline developed by our
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-language scientific and technical programming, including Python, C++, Java, Embedded C, LaTeX, and Swift, for developing algorithms, simulations, and research workflows. Skilled in research methodology
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: image processing, machine learning, and patient records. Track record of development and implementation of novel machine learning algorithms in the healthcare setting or other spaces. Extensive experience
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hybrid work agreement. The salary range for this position is $65,000 - $75,000 per annum, plus benefits. The primary goal of the CMMI is to develop an integrated multi ‘omics platform to investigate
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registry), previously developed algorithms (e.g., converting all opioids dispensed to morphine milligram equivalents), and epidemiological and econometric methods (e.g., interrupted time series analysis
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at the UBC Vancouver campus with the possibility of a hybrid work agreement. The salary range for this position is $65,000 - $75,000 per annum, plus benefits. The primary goal of the CMMI is to develop
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Government of Canada | Government of Canada Ottawa and Gatineau offices, Ontario | Canada | about 2 months ago
. • Disseminate research results through technical reports, presentations, peer-reviewed publications, and software contributions. • Maintain situational awareness in research developments and provide advice and
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prototypes. Signal Acquisition & Processing Develop acquisition pipelines to capture vascular motion during CPR. Implement signal‑processing algorithms to extract markers of blood flow. Model Development