804 professor-computer-science-"https:"-"https:"-"https:"-"https:" positions at Nanyang Technological University
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epidemiology, bioinformatics, computational biology). Candidates who have successfully defended their thesis or dissertation are welcome, subject to evaluation on a case-by-case basis. Experience analyzing large
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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
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undergraduate and postgraduate students in the Business, Computing & Data Science, Engineering, Humanities, Arts, & Social Sciences, Medicine, Science, and Graduate colleges. NTU is also home to world-renowned
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for three highly motivated Research Fellow to join Associate Professor Xia Kelin's team at the School of Physical and Mathematical Sciences. The project focuses on developing Mathematical AI techniques
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. The Senior Assistant Manager is responsible for leading and executing the business development initiatives and overall operation of Master of Science in Technopreneurship and Innovation Programme (MSc TIP) and
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requirements include: Candidate should minimally hold a master’s degree in maritime transport, marine technology, computer science, or a related field. Excellent programming skills, such as Python, Matlab, C
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian You will be part of a dynamic research team working on topics relevant
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Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a
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: Apply Position Description School of Physical and Mathematical Sciences Nanyang Technological University, Singapore Assistant Professor/Associate Professor (Tenure Track/ Tenured) in Post-Quantum
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like NLP, Computer Vision, or on tabular data. Generative AI & LLMs: Hands-on experience developing LLM-powered applications, including Prompt Engineering, Retrieval-Augmented Generation (RAG), and fine