166 phd-computational-"FEMTO-ST"-"FEMTO-ST" Fellowship positions at National University of Singapore
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. Additionally, direct interaction with suppliers is part of the job as well as preparing manuscripts and presenting work at conferences. Qualifications • Possess a PhD in Electrical Engineering • Experience
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. • Optimize the selection of materials, such as catalysts, membranes, and gas diffusion layers, to enhance system performance and longevity. Qualifications • PhD in Mechanical Engineering, Chemical
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focuses on mechanical and morphological evolution of the insect heart, as part of the recently funded Human Frontier Science Program (HFSP) grant awarded to Prof. Young’s lab. The heart is one of the first
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for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in
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aspects of computational modelling, brain-computer interface technologies as well as within NUS focusing on design and application from the lens of landscape architecture. Key Responsibilities: Assist
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invites applications for a Research Fellow in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine. The HPTRP brings together researchers from a wide range of
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University of Singapore invites applications for Research Fellow / Research Associate to be involved in The Integrated Women’s Health Program (IWHP) longitudinal cohort and the MUSE Randomized Control Trial
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other tasks required by the principal investigator. Job Requirements • A PhD within the fields of computer science, learning analytics, engineering, statistics, mathematics, construction management
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. Qualifications/Requirements Qualifications / Discipline: - PhD from a reputable institution in Physics, Bio-imaging, Computer Science, or a scientific domain closely related to Machine Learning. - The candidate
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current and emerging trends in data science. Committee Membership: Participate in the DFM research committee. Qualifications Educational Background: Master’s or PhD in Data Science or a related field