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segmentation, localization, mapping and multi-modal sensor fusion; (b) proficiency in programming languages such as Python and C++; (c) demonstrated ability to conduct independent research and contribute
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, technical project reports and knowledge transfer documents; (e) assist in coordinating project activities, including lab maintenance, equipment operation, supplier/industry engagement and academic seminars
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knowledge; (d) develop reliability-aware diagnostic methods involving uncertainty quantification, confidence calibration, conformal prediction, out-of-distribution detection, and unknown fault recognition
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preparation, and proposal preparation; (e) have strong statistical knowledge and data analysis skills; (f) be proficient in using Python for data processing and text mining, and traditional qualitative
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qualification. For all posts, applicants should also have: (a) strong knowledge of and experience in biomedical engineering, neuroscience or neurobiology, biophysics, cellular/molecular biology, preferably