234 computational-physics-"https:"-"https:"-"https:"-"https:"-"IFM" Fellowship positions in Singapore
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. This project aims to use design technology to automate the design process and potentially complement experts' designs, in order to improve the rationale and efficiency of our design. The research fellow is
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(or an equivalent degree) in Civil Engineering, Built Environment, Material Science or related fields. • Experience in research for structural optimization is desirable. • Strong computational analysis skills
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Responsibilities: Lead research activities to ensure the timely completion of project objectives and deliverables. Process and polymerize various types of wood to develop membranes for experimental study Conduct
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imaging) and development of novel imaging techniques (nuclear and molecular imaging, computational imaging, etc). With the formation of the National University Health System (NUHS), both clinical and
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supervise and train students and junior lab members and to ensure smooth functioning of an active research program. The candidate will have the opportunity to explore his/her own interests across functions
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electrolysers or related fields. • Experience with large-scale electrochemical systems, including component selection, system integration, and process scale-up is highly desirable. • Proficiency in
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dedicated scientific and technical support for the development of advanced AI methods and foundation models in computational biology, ensuring the timely execution of funded research projects and the
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in communication and information studies. Its communication program ranks among the top four globally and is the best in Asia. Similarly, its information studies program is ranked among the top three
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membrane research program, which focuses on the materials-level design of high-performance nanofiltration and reverse osmosis membranes through interfacial polymerization, charge and electrochemical
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agencies. Qualifications • PhD in Robotics, Mechanical Engineering, Mechatronics, Computer Vision, or a closely related field. • Strong expertise in robot design and at least one of