154 parallel-processing positions at Nanyang Technological University in computer-science
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Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills In-depth
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, specifications and presentations for internal reviews and external conferences or journals Job Requirements: Preferably PhD in computer engineering, Computer Science, Electronics Engineering or equivalent
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Master in Computer engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication
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Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in programming languages such as C and Python Proficiency in deep learning
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, natural language processing, model optimization, and AI systems, with a proven publication record at top-tier AI conferences and journals. Job Description: Conduct research on Green AI technologies
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vision, multimodal learning, medical/industrial imaging, and related AI4X topics. Design, implement, train, and evaluate deep learning models and research prototypes using Python/PyTorch and related tools
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. To collaborate with industrial and academic partners. To perform any other duties related to the research program. Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics
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: PhD’s degree in computer engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written
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development and strategic initiatives. Job Requirements: Ph.D. in Artificial Intelligence, Computer Science, Machine Learning, Natural Language Processing, Information Retrieval, Data Science, or a closely
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are met on time. Job Requirements: Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or a related field. Good knowledge of computer security. Experience in computer science research