285 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Warwick" research jobs at Nanyang Technological University
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description; A detailed curriculum vitae; 2 published articles or writing samples; and 3 reference letters. We regret that only shortlisted candidates will be notified. For further information about RSIS
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an emphasis on technology, data science and the humanities. We are seeking Research Fellow to join the Neuroscience and AI Research (Nair) group, led by Nanyang Assistant Professor Aditya Nair, to study how
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an emphasis on technology, data science and the humanities. We are seeking a highly motivated and innovative senior research scientist to join our cutting-edge project at the intersection of RNA therapeutics
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(DoE) plan Plan and execute experiments Capture and analyse data Resolve technical problems Perform technical research and technical report writing Requirements: PhD in Mechanical, Electrical and
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an emphasis on technology, data science and the humanities. We are seeking accomplished and highly motivated Research Assistant/Associate to join an Industry Alignment Fund - Pre-Positioning (IAF-PP) grant
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expanding its range of education and research activities. Key Responsibilities: To be involved in a research project related to marine geophysics and data analytics; Key responsibilities include development
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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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