310 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" "Univ" "Univ" "Univ" research jobs at Nanyang Technological University
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have the ability to be excited about working in a diverse lab group setting, plan and conduct assessments independently and collaboratively, interpret data, and present results to diverse audiences
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from chip. Characterise and optimise the algorithm for signal data processing for real-time cell analysis. Develop a user-interface platform for end-user testing of clinical samples. Job Requirements
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an emphasis on technology, data science and the humanities. Our team’s mission is to understand how the brain works in both normal and diseased states. We are particularly interested in neurodevelopment, what
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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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: Electrochemical process on interface phenomena Battery testing under different conditions Simulation of scaled up process. Interface with machine learning group on data base set up Battery safety testing Presenting
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spatiotemporal systems by combining physics-driven baselines with data-driven correctors. Formulate and solve inverse problems using Physics-Informed Neural Networks and relevant methodologies. Conduct rigorous
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an emphasis on technology, data science and the humanities. Lee Kong Chian School of Medicine (LKCMedicine) is recruiting a Research Assistant/Associate for Flow Cytometry Facility The Flow Cytometry Facility
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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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these methods to heart disease modeling using multimodal clinical data. Work with PhD students and research staff to solve related research problems; oversee and report project progress. Job Requirements
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modelling techniques, including data-driven methods and AI-assisted approaches, to evaluate system performance, explore system integration strategies, and assess techno-economic and environmental impacts