815 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"IFM" positions at Nanyang Technological University
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in relevant discipline such as International Relations, Public Relations, Business, Economics, Communication, Linguistics, etc. Minimum 3 – 4 years of relevant and related working experience in
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LLM- Assisted Computational Materials Science as part of the MSc in Chemical Engineering Programme. Your responsibilities would include, but not be limited to, the following: Development, coordination
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with academic and industry partners and contribution to technical reporting, technology translation and implementation-ready design guidelines. Responsibilities: Plan, design and execute experimental
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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE
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RRIS (Rehabilitation Research Institute of Singapore) We bring together expertise from three key areas: academic research through NTU, science and technology through A*STAR, and healthcare through
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), information science, or related fields. Prior experience and proficiency in working with large language models including programming, evaluating, and benchmarking, evaluating. Demonstrated skills in quantitative
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electrical or computer engineering or computer science Good publication record with papers accepted/published in top-tier journals and conferences Good research experience in AI and machine learning as
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from the School of Physical and Mathematical Sciences with the School of Chemical and Biomedical Engineering. It is jointly run by the College of Science and the College of Engineering (https
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current advances in the field. Any other duties appropriate to the grade as delegated by the Principal Investigator Job Requirements Master’s degree in Electrical and Electronic Engineering, Computer Science
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Requirements: A Ph.D. degree in a related discipline (transportation engineering, computer engineering/science, or related disciplines) by December 2025. Expertise in AI, deep learning, and programming (e.g