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the performance and functionality of healthcare monitoring technologies. Stay abreast of the latest developments in biomedical engineering, artificial intelligence, and related fields to continuously improve
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fixed-term contract More Information Location: Kent Ridge Campus Organization: College of Design and Engineering Department : Biomedical Engineering Employee Referral Eligible: No Job requisition ID
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and accuracy in conveying concepts and procedures. Job Requirements: Bachelor's degree in Materials and Biomedical Engineering or a related field. Proficiency in Microsoft Office applications. Hands
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meetings. Draft research publications Job Requirements: Minimum PhD Degree in Biological Science, Biomedical Engineering or related disciplines. Relevant research backgrounds and experience. Experience with
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Job Description We are looking for a passionate and self-motivated research assistant/engineer to join our multidisciplinary research team working on the development of novel synthetic and bio-based polymeric materials for environmental sustainability, agricultural, and biomedical applications....
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The Division of Mathematical Sciences in the School of Physical and Mathematical Sciences of NTU provides a multidisciplinary academic program that provides students with a wide-ranging and up
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are also explored. The researcher will work in an interdisciplinary research team consisting of electrical, chemical, and biomedical engineers, chemists, and materials scientists. Qualification, Skills, and
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Job Description The Department of Mathematics at the National University of Singapore (NUS) invites applications for the position of Teaching Assistant, beginning in July 2024. The appointment will
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A Research Fellow position is currently available in the School of Physical and Mathematical Sciences (SPMS) with a focus on robust optimization and procurement management. The incumbent will be
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Science, Mathematics, Statistics, or relevant fields. Strong background in machine learning. Experience in machine learning for optimization is preferable. Knowledge with machine and deep learning software packages