422 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nanyang Technological University in Singapore
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discipline (e.g., computer science, data science, software engineering) Proficient in Machine Learning, Deep Learning, Python, Data Science, and AI/ML Toolkits Preferred Applicants with Master’s or PhD Degree
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in Python or similar languages Knowledge of machine learning, AI systems, or autonomous agents Experience with scalable software systems and cloud-based development environments Familiarity with
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/Research Fellow(SRF/RF) to carry out research in robotics and machine learning by exploring cutting-edge approaches such as learning-based robot perception, adaptive control with reinforcement learning
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, including organizing research activities, managing projects, and contributing to grant proposals. Job Requirements: PhD degree in communication, psychology, sociology, Human-Computer Interaction (HCI
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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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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
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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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The National Institute of Education invites suitable applications for the position of Research Assistant on a 24-month contract at the Science of Learning in Education Centre . Project Title
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teamwork and verbal, written communication skills In-depth knowledge of computer vision and deep learning Demonstrated capability to conduct innovative research We regret that only shortlisted candidates
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programming skills in Python and familiarity with AI/ML frameworks. Good understanding of LLM architectures, transformer models, and machine learning fundamentals. Experience with model serving / inference