807 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" uni jobs in Singapore
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Empathy and understanding of the unique challenges faced by military personnel. • Technical Proficiency: o Proficiency with virtual training platforms and learning tools (e.g., kahoot). o
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an emphasis on technology, data science and the humanities. We are looking for an experienced individual to drive the effective use of digital tools and technologies to enhance the learning experience
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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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Science, or a related technical field Master's or PhD degree in Machine Learning, Computer Vision, or related areas will be advantageous Preferred Qualifications: Experience with biological/ecological
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expertise in computational biology and machine learning/AI for synthetic biology applications to join our group at National University of Singapore for the engineering of microbes as biosensors
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Job Description Apply now Job Title: Learning Support Executive Posting Start Date: 15/01/2026 Job Description At NUS, we are committed to supporting the health and wellbeing of our staff and
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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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the Office of Information, Knowledge and Library Services (OIKLS). Reporting to the University Librarian, this role is about helping shape the future of how students and faculty learn and teach at NTU
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workflows for processor and accelerator design, verification, and physical implementation using open-source tools. Explore architecture-algorithm co-design for machine learning and AI acceleration. Perform
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of wireless communications, signal processing and machine learning methods and algorithms for urban anomaly detection and human activity classification through 5G signal recording, processing analysis