175 computer-science-programming-languages-"the"-"FEMTO-ST-institute"-"U.S" positions at Nanyang Technological University
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language models (LLMs) and their application to software analysis, automated program repair, and security reasoning. Experience in system-level security, protocol robustness, smart contract code auditing
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with industrial and academic partners. To perform any other duties related to the research program. Job Requirements: Preferably Master in Computer Science, Electronics Engineering or relevant fields
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the course IN6238 Human-AI Interaction. The course is offered in the Wee Kim Wee School of Communication and Information's Master of Science in Information Systems (MSIS) programme. IN6283 examines how humans
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documents. Job Requirements: MSc in Computer Science, Cybersecurity, Electrical Engineering, or a related field Proven experience with HW/SW Co-Design, FPGA development and hardware prototyping Proficiency in
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engineering, automatic testing, program synthesis Excellent background and experience in programming language, especially python Good communication and report-writing skills Strong responsibility for research
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-on experience with development of web-based user interface Knowledge of battery management systems (BMS) Proficiency in programming languages such as Matlab, Python, and Javascript Excellent verbal and written
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infrastructure security R&D. Job Requirements: A PhD in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline. Proven research track record demonstrated by publications in top
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environmental challenges. The ASE integrates Earth and environmental sciences to build an understanding of our planet and environment and to address key issues of environmental sustainability and its impact on
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relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: Master’s degree in Computer Science, or a related discipline; Have a solid foundation in Machine
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Engineering, Artificial Intelligence, Computer Science or equivalent. Strong background in Deep Learning, Generative Models and Large Language Models. Strong publication record in top conferences/journals