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-modal sensing data. Design and execute lab-scale experiments to study structural response and validate distributed sensing methodologies. Plan and conduct field deployments on bridges, railroads, and
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Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore (NUS) and the National Centre for Engineering Biology (NCEB). The selected Research Fellow will work
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Publication track record is an advantage Proficiency in basics of programming languages such as ROS and Python Excellent communication skills, written and verbal – able to communicate complex concepts clearly
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university; Excellent programming skills, such as Python, C++, Java, Julia, or other competent languages; A good record of publications in reputable peer-reviewed journals or conferences in maritime transport
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) or with big, ambitious ideas that extend the lab’s focus. You will receive direct mentorship, generous support, and space to launch a scientific program you can carry with you into a future faculty role
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Schemes of Service: Research Division: Professional Officers Employment Type
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crop growth and/or plant growth, as well as relevant plant biophysical and biochemical traits. Familiarity with the land carbon cycle. 3. Proficiency in at least one programming language, such as MATLAB
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. Qualifications The proposed project extensively involves mathematical modelling, computer programming, numerical simulation and experimental investigation of two-phase flows. It requires researchers to have PhD
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. The Postdoctoral Fellows are given the opportunity to participate in a broad range of interdisciplinary activities and programs that characterize NTU’s approach to research and education. The fellow in this research
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related field). Decent programming skills, especially in Python or JAX. Familiarity with finance theory (asset pricing, derivative pricing, risk management etc.). Familiarity with machine learning or deep