474 computer-science-programming-languages-"St"-"ST"-"St" Fellowship positions in Singapore
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PDEs arising from emerging applications. The hire is in line with a university wide initiative to advance the application of Computational Science in interdisciplinary research. Key Responsibilities
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duties as assigned by the Centre Director and Assistant Director Job Requirements: PhD in Computer Science, Cognitive Neuroscience, Life Sciences, Engineering or a related field Minimum 3 - 5 years
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experience in handling semiconductor wafer development Skillful in semiconductor processing techniques. Possesses good skill in programming languages, some background in device modelling is a plus. Competent
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, computational biology, engineering, statistics, mathematics.). Experience and interest in prediction modelling Proficient in statistical software and programming languages and familiarity with relevant libraries
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of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and
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Engineering, Automation, Mechanical Engineering, Control Engineering, Mechatronics, Computer Science, AI, etc. Strong background in autonomous driving, deep learning, interaction modelling, prediction, robotics
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Research Fellow with the Military Transformations Programme. The Military Transformations Programme (MTP) focuses on emerging military technology and innovation issues and their impact on strategic stability
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The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) invites applications for the position of Research Fellow. We are looking for an enthusiastic individual who will work as a
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. To collaborate with interdisciplinary teams, including experts in physics, chemistry, and those who work on quantum computing hardware. To perform any other duties related to the research program. Job Requirements
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superlattices (twistronics). The role will focus on developing and applying theoretical models and computational quantum chemistry and machine learning methods to uncover novel properties and phenomena in low