976 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" uni jobs in Singapore
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and professional growth. Please refer to https://www.ntu.edu.sg/nie/ for more information on NIE courses/programmes. Requirements A Master’s degree, preferably in Counselling and Guidance or Applied
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, machine learning, and deep learning models. Key Responsibilities: Develop and apply time-series forecasting methods for semiconductor equipment health monitoring. Analyze equipment degradation data
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intelligence, machine learning, pattern recognition, and digital image processing, particularly in biomedical or histopathology applications. Hands-on experience in designing and implementing deep learning
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innovation. The Platforms Engineering Group builds and operates the infrastructure and systems that enable AI practitioners across AISG's programmes to develop, train, and deploy machine learning models
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, machine learning, pattern recognition, and digital image processing, particularly for biomedical or histopathology applications. Demonstrated ability to design, implement, and optimise numerical and
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(ALC) Department. Job Description Part-Time Lecturers are engaged for teaching duties such as conducting lectures, tutorials and practicum supervision. Please refer to https://www.ntu.edu.sg/nie
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developers, and AI researchers to translate findings into operational use cases. Prepare data collection frameworks and work on fish health monitoring datasets for machine learning training and benchmarking
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Singapore Management University’s Organisational Behaviour and Human Resources group invites applications for Lecturer (teaching-only) positions. Lecturers are required to teach 8 courses per academic year
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data analysis through to deployment and documentation. Applied Machine Learning: Possess deep, practical knowledge of machine learning fundamentals, with proven experience applying algorithms to solve
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related to generative design. The key responsibilities include the following: To independently undertake research in machine learning. To publish high-quality research papers as required by the funding body