22 high-performance-computing Fellowship positions at National University of Singapore
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/experimentation. • Design and develop an intelligent and optimal switching strategies, control techniques, and energy management system (EMS) for the energy efficient and reliable operation. • Perform HIL
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tools for High-Performance Computing (HPC) applications. Qualifications/Requirements Qualifications / Discipline: - PhD’s degree in Physics, Materials Science, Computer Science, Data Science, Artificial
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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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of high-performance computing and high-fidelity simulators for virtual surgery and surgical robots. The research fellow is expected to contribute in the following aspects: a) Design and implement high
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-performing learners; • Contribute to data visualization, interpretation, and the preparation of high-quality research publications; • Write other research papers, reports and proposals; • And any
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or helped organize university events, tech talks, or seminars, indicating familiarity with event logistics and academic engagement. - Demonstrated ability to work with high-performance computing environments
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. The facility includes multiphoton microscope, confocal microscopes, high-content spinning disk confocal, slide scanner and widefield microscope as well as image analysis tools. Appointments will be made on a 2
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of postdoctoral Research Fellow (RF). This role is offered on a 1-year renewable contract basis; renewal is subject to satisfactory job performance. The Research Fellow will design studies and conduct experimental
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player who is self-driven, committed, and willing to take initiative. Strong interpersonal and leadership skills, effective in coordinating stakeholders, fostering teamwork, and leading high performance
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, biomedical or computational imaging). A detailed knowledge of molecular imaging, or material science is mandatory. Experience in designing and performing scientific work independently and collaboratively is a