10 science "University of Birmingham" Fellowship research jobs at National University of Singapore
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quantification Knowledgeable in atmospheric VOC chemistry and chemical reactions Proactive in assisting and contributing to quality scientific research publications Proficient in technical presentation, slide
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/ Discipline : Ph.D. degree in Molecular Biology, Biochemistry, Cancer biology or other related fields is preferred. Skills : - Good communication skills and a team player. - Effective oral and written
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Job Description Postdoctoral research fellow in the area of wireless sensing Qualifications • PhD in Electrical Engineering, Software Engineering, Communications Engineering, Artificial
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involved in the research and development in the area of microfluidics technology as well as collaborate with our clinical partners on the testing and validation of these technologies. Key Responsibilities
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multidisciplinary research project Design and conduct research in flexible electronics, implantable electronic, wearable electronics and electrical engineering area Validating the bioelectronics in pre-clinical
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filing. • Writing of research grant proposals and obtain funding for technology translation and scale up. • Mentor PhD and Master students. • Analyse and outline pain points and challenges
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biomarkers (e.g., CRP). Particularly, we will develop AI-integrated wearable electronics technology with a new sensing mechanism for biochemical dynamic resilience biomarkers. Key Responsibilities Lead and
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Job Description The Electrical and Computer Engineering (ECE) Department of National University of Singapore (NUS) is in search of candidate for a research fellow position to assist in ‘Hybrid
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interdisciplinary knowledge of materials science, photonics, physical optics or related fields., etc. Practical experience in the design, fabrication, measurement and characterization of polarization modulation in
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Leadership and co-supervision Requirements: Completed a PhD in a quantitative discipline (statistics, mathematics, computational biology, data science). Strong programming skills (R preferred