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the assessment of various sensors to determine the most beneficial. Pre- and post-testing, comprehensive surface chemical and mechanical analyses will be required to characterize the wear and friction properties
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algorithms is necessary, with an emphasis on object tracking, optical flow and sensor fusion Knowledge of rock mechanics, soil mechanics and/or landslide processes is considered beneficial Prior experience
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Geology or other related discipline Demonstrated expertise in machine learning and computer vision algorithms is necessary, with an emphasis on object tracking, optical flow and sensor fusion Knowledge
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addition to acquiring hands-on experience in energy storage/sensor device fabrication and testing. Consequently, the researcher will bring multiple areas of expertise to bear in order to solve problems and will receive a