297 computer-science-programming-languages-"the"-"U.S"-"O.P"-"RAEGE-Az" positions in Singapore
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to attract PhD qualified Singaporeans with a demonstrated interest in research, technology and design, to join SUTD as a SUTD Faculty Fellow. The awardee will undergo a 3-year programme to develop them
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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: Must hold a Master’s degree in marine technology, marine engineering, naval architecture, maritime studies, computer science, or a related field; Excellent programming skills, such as Python, Matlab, C
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. ● Have held at least one engineering or infrastructure position for a minimum of 2 years. ● Proficient in at least one of the following programming languages: Python, Go, Rust, JavaScript/Typescript, etc
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: Apply Position Description The South Asian Studies Programme (SASP), a constituent unit of the Faculty of Arts and Social Sciences, at the National University of Singapore, invites applications for a
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maritime transport, marine technology, computer science, or a related field; Excellent programming skills, such as Python, Matlab, C++, or other computer languages; A record of publications in reputable peer
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programming languages like C and Python, as well as deep learning frameworks such as PyTorch and TensorFlow. Knowledge in imaging and computing device and equipment. Strong communication, organizational, and
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. Proficiency in programming languages like C and Python, as well as deep learning frameworks such as PyTorch and TensorFlow. Knowledge in imaging and computing device and equipment. Strong communication
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-research. Requirements: PhD in Computer Science, Computer Engineering, Electrical & Electronic Engineering, or related disciplines; Skilled in using Python, PyTorch, etc., and have the ability
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, Electrical Engineering, Computer Science, or a related discipline. A strong, proven track record of high-quality publications in relevant fields. Proven expertise in developing high-fidelity models for complex