214 programming-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" Fellowship positions at Nanyang Technological University
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We invite applications for a Research Fellow to join an interdisciplinary research team led by Dr. Sing Yian Chew (NTU). The successful candidate will contribute to an ongoing research program
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(SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local
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under Prof. Shirley Ho) (6) Contribution to at least 2 journal articles in top 10% journals (7) Work associated with the program of research as necessary. Job Requirements: (1) PhD in Communication
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for cybercrime activities. Familiarity with data-driven security methodologies, including large-scale data collection, empirical measurement, and attack pattern analysis. Proficiency in programming languages
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known for its forward outlook. This program also allows strong collaboration with leading academic and industrial groups within and outside the country. We are seeking a Research Fellow to be in charge of
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their thesis for defence are also welcome to apply. Proficiency in programming would be preferred. Post-doctoral research experience in related areas would be an advantage. Knowledge and research experience in
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intelligence, machine learning, deep learning, environmental modelling, climate-health research, early warning systems, or related fields. Have strong programming and computational skills in Python, R, MATLAB
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. Demonstrated competence of programming languages, such as Matlab, R, or Python, within a GIS environment Ability to publish and communicate effectively to both technical and non-technical audiences Ability
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research of computer aided design, 3D graphics, machine learning, deep learning, AI, LLMs Strong programming skills in C/C++ or Python Good publication record Good interpersonal skills. Self-driven and
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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