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•        position 1: data-driven mass customization of healthcare products
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motivated students with the background of mathematics, computer science, manufacturing, mechanics, mechatronics, or engineering design are preferred. applicants should have achieved an average 80% (a- equivalent) or above in both undergraduate (in the last two years of study) and graduate studies. the exceptional undergraduate will also be considered. other requirements:
•        hard-working, strong commitment, good communication skills, and teamwork spirit.
•        knowledge of at least one programming language (c++/c#/python/matlab) is preferred.
•        knowledge of additive manufacturing process, generative design, machine learning, or IOT is an asset.
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