1,433 machine-learning "https:" "https:" "https:" "https:" "https:" "Dana Farber Cancer Institute" positions in Singapore
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Job Description Apply now Job Title: Learning Experience Designer Posting Start Date: 22/10/2025 Position Overview We are seeking a Learning Experience Designer who is both tech-savvy and creatively
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advance research in computer vision, machine learning, and/or robotics for the digitalization, monitoring, and automation of civil infrastructure. The role will focus on developing innovative methodologies
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-Centred Design/Human-Computer Interaction (Assistant, Associate or Full Professor level). We are seeking a creative and critical design researcher who works at the interface where computing technologies
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programming, large-scale optimization, and simulation-based optimization; and/or Expertise 2: Experience with general methods in artificial intelligence and machine learning, including reinforcement learning
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for graph data management. Design and implement machine learning models for optimizing graph data management. Conduct experiments and evaluations of the designed algorithms and systems. Help with research
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2022. We invite you to explore https://cde.nus.edu.sg/ece/ to learn more about us and see how you could become a part of our vibrant and diverse community. More Information Location: Kent Ridge Campus
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As part of NTU’s Learning & Talent Management team, you will play a pivotal role in shaping NTU’s enterprise‑level people development narrative in support of the NTU2030 vision. This role is about
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positive environment to grow and groom future business leaders. And we are looking to add to our BIZ family! To learn more about the NUS Business School, please visit https://bschool.nus.edu.sg/ Job
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an emphasis on technology, data science and the humanities. We are seeking a highly motivated Learning Technologist to join our Digital Learning team, with a strong focus on curriculum content development and
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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