315 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:" Fellowship positions in Singapore
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leadership role at NTU. Successful NAP awardees will be given a tenure-track Assistant/Associate Professor appointment and granted a substantial start-up grant (SUG) to lay the foundation for their research
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Postdoctoral Research Fellow in the Departments of Ophthalmology and Biomedical Engineering. The Eye N’ Brain Research Group led by Assistant Professor Raymond P. Najjar is interested in neurobiological
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for a Postdoctoral Research Fellow in the Departments of Ophthalmology and Biomedical Engineering. The Eye N’ Brain Research Group led by Assistant Professor Raymond P. Najjar is interested in
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and grant applications. Key Responsibilities Provide intellectual and technical leadership in bioinformatics and computational biology to support high-impact, hypothesis-driven research. Lead and
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will publish relevant results to cryptography conferences/journals Job Requirements: PhD in Mathematics and/or Electronics and/or Computer Science Ability to work independently and as part of a team with
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an emphasis on technology, data science and the humanities. We are seeking Research Fellow to join the Neuroscience and AI Research (Nair) group, led by Nanyang Assistant Professor Aditya Nair, to study how
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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and PhD students on computational mathematics and AI methodologies. Job Requirements: A PhD degree in Applied Mathematics, Computer Science, Engineering, or a related quantitative field. Deep expertise
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Computer Science, Statistics, Finance, Economics, or a related field. Very strong programming skills, especially in Python. Hands-on experience with large language models, AI agents, or machine-learning systems
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programme at the intersection of optics, electrical engineering, artificial intelligence, and experimental biology, with the aim of building closed-loop, autonomous experimental platforms that accelerate