32 high-performance-computing Fellowship research jobs at National University of Singapore in Singapore
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heat and mass transfer, thermal comfort, and computational fluid dynamics (CFD). These skills will be applied to design, evaluate, and optimise strategies that enable the effective implementation of MMV
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demonstrated expertise in real-world robotic applications. • Extensive experience in sum-of-squares (SOS) algorithm, hands-on experience in developing high-performance optimization solvers for robotics
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dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing We are seeking a Research Fellow with expertise in transmission electron microscopy (TEM) to join
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expected, and familiarity with modern machine learning methods will be considered an asset. NUS offers a vibrant research environment, with access to high-performance computing facilities and opportunities
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. • Evaluate and recommend efficient and reliable power electronics with other merits of high-density and light-weight. • Innovate, design, and test the relevant power electronics and drives system hardware
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) Programme studies the causes and treatments of cancer and related diseases. The CSCB research groups have diverse programmes in both basic cancer biology and clinical-translational studies, with a special
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postdoctoral fellow to join the Genome Re-InnovaTion-Lab (https://grit-lab.org/), part of the Synthetic Biology Translational Research Programme (TRP) at the National University of Singapore, Yong Loo Lin School
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) year contract basis in the first instance, with the possibility of extension for very high performing staff. Purpose of the post The Department of Obstetrics and Gynaecology has established a Core
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desirable. Experience with Linux/Unix operating systems, high-performance computing clusters, relational database design, and web development is required. Prior experience with pathogen genomic epidemiology
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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