409 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" "UNIV" "Univ" Fellowship research jobs in Singapore
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count data, offering a rare opportunity for applied research and experimentation. The postdoctoral research fellow will be supervised by the principal investigator Dr. Adrian Chong from the Department
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reactions, or transport mechanisms. • Experience in data-driven modeling or machine learning applied to membrane materials or separation performance analysis is a strong advantage. • Candidates with strong
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, conferences and ARI social events. Other benefits that the University provides and information about working at NUS and living in Singapore are available at Why Join Us . Terms and conditions, according
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an emphasis on technology, data science and the humanities. Our research focuses on uncovering the cellular, molecular and metabolic mechanisms driving cardiovascular and skeletal diseases. We are a dynamic
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, patents, and publications. Job Requirements: PhD in Computer Science, Information Security, Engineering, or a related discipline. Research experience in software/system security, fuzz testing, or embedded
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: PhD degree in Computer Science, Electrical Engineering, or a closely related field Strong research background in computer vision and deep learning Solid experience with multimodal learning, segmentation
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psychology, cognitive science, human-computer interaction, communication science, or a related field. Strong background in psychological research methods (e.g., behavioral, experimental, interviews, mixed
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to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and
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Data Science (CCDS) and Nanyang Business School (NBS), and strong involvement from the College of Engineering (CoE), College of Science (CoS), College of Humanities, Arts and Social Sciences (CoHAaS
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phases are as follows: Phase 1 – Literature reviews and research writing. Phase 2 – Survey and experiment design, and IRB applications. Phase 3 – Data collection and pre-processing. Phase 4 – Data analysis