1,433 machine-learning "https:" "https:" "https:" "https:" "https:" "Dana Farber Cancer Institute" positions in Singapore
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inter-department joint activities. The incumbent will oversee various I&E activities and engagements to enhance the experiential learning. S/he will also support venture internship, expanding the industry
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mechanisms) to ensure stable operation and precise control during flight. Edge Computing Implementation: Architect and deploy machine learning and computer vision models directly onto onboard edge devices (e.g
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& Undergraduate Programmes (TEUP). 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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, machine learning, and life cycle assessment, we aim to create sustainable wearable systems to enhance human well-being. For more details, please view https://www.ntu.edu.sg/mse/research . We are seeking a
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applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process industries; advanced process control (APC); model predictive control (MPC); digital
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Adjunct Lecturer, Finance (FNCE101 - Finance) - (2600002U) Description Lee Kong Chian School of Business invites applications for adjunct instructors to teach finance course: Finance. Ideal
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the University and the region. The manager, Postgraduate Programme (PG), plays a critical role in nurturing leaders in entrepreneurship ecosystem, as well as in supporting the national agenda of lifelong learning
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking to hire a research fellow (postdoc) to undertake a project to develop efficient AI and Machine
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computational electromagnetics and electromagnetic simulation techniques. Experience in AI-based RF transistor modelling is highly desirable. Solid knowledge of machine learning algorithms and their application
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epitaxy (MBE) Develop innovative approaches to accelerate MBE materials development using in situ characterization & machine learning Integrate epitaxial synthesis with exfoliated two-dimensional materials