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invites applications for a Research Fellow in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine. The HPTRP brings together researchers from a wide range of
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optimizing fabrication and testing processes for new devices. Qualifications PhD degree in Electrical Engineering, Materials Science, Mechanical Engineering, Biomedical Engineering, or a related field with
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, contributing to cutting-edge research at the intersection of engineering, healthcare, and smart textiles. We seek candidates from engineering backgrounds who has experiences in healthcare device design
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At the Air Traffic Management Research Institute (ATMRI) (http://atmri.ntu.edu.sg/), Nanyang Technological University, you will be part of a research team to study the use of Artificial Intelligence and Data Analytics in Air Traffic Management Systems. The selected candidate will work on...
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Requirements • A PhD in Atmospheric Science/Mechanical/Environmental Engineering or equivalent • Proficiency in computational fluid dynamics (CFD) simulations software • Strong passion in research and
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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The applicant should have: Ph.D. in a related discipline in Biology, Bioengineering and four years of related experience or an equivalent combination of skills, education, and experience. Prior experience working
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, biomedical or computational imaging). A detailed knowledge of molecular imaging, or material science is mandatory. Experience in designing and performing scientific work independently and collaboratively is a
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of analyzing large-scale population data. Experiences working with electronic health records (desirable). Understanding of clinical informatics approaches (e.g., machine learning, Bayesian statistics) and