290 programming "https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" research jobs at Nanyang Technological University
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, machine learning, or related fields. Have strong programming and computational skills in Python, R, MATLAB, or related analytical and machine learning frameworks, such as PyTorch, TensorFlow, or Scikit
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mathematics education at SPMS, NTU. Key Responsibilities: The short-term responsibility is to plan and implement an educational research and development project in higher mathematics education at SPMS, NTU with
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), programming language (e.g., Python, Matlab), and experience with neuroimaging software. Willing to travel to testing sites for data collection. Excellent organizational skills and able to work within tight
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activities within Assistant Professor Dawei Qiu’s research group at NTU. Job Requirements: Bachelor degree in Software Engineering or Electrical Engineering. Strong programming skills in Python and familiarity
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in educational data mining and AI for education, with the ability to handle a large amount of data Prior experience working with LLMs, including programming, fine-tuning, evaluating and benchmarking
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. Proficiency in programming tools such as Python, C++, and machine learning frameworks is expected, together with strong communication, organizational, and collaborative skills. Experience in infrastructure
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scientifically lead Singapore’s deep underground development efforts enabling the nation to plan the use of its key resources (space, materials and environment) effectively in 3 dimensions. We are looking for a
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. Knowledge of cybercrime concepts and LLM prompt techniques. Proficiency in programming languages such as Python, C/C++, and Java. Familiarity with vulnerability analysis, network analysis, and cybercrime
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in communication and information studies. Its communication program ranks among the top four globally and is the best in Asia. Similarly, its information studies program is ranked among the top three
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grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing. Key Responsibilities: Conduct programming and software development