367 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" uni jobs at National University of Singapore
Sort by
Refine Your Search
-
Listed
-
Field
-
disposition. Strong interpersonal communications (written and verbal) and service skills. Proficiency in Microsoft Office Suite and adaptability to learn and work with various university-specific data systems
-
learning outcome Designing and implementing new teaching materials and assessment tasks Grading assignments and assessments to evaluate student competency with prompt and constructive feedback to student
-
with programme learning outcomes and accreditation standards. - Collaborate on the design, implementation and quality assurance of key student assessments. 2. Faculty Development and Educational Practice
-
looking for? • Ability to work independently with a proactive and meticulous approach. • Good command of written and spoken English. • A commitment to continuous learning and process improvement
-
of the programme in accordance with the policies of the College and the University. The successful candidate is also expected to teach core, elective and/or studio courses in accordance with the expected teaching
-
applications. Define and maintain adequate security and data protection policies. Qualifications Bachelor’s Degree Computer Science, Computer Engineering, or related discipline involving web application
-
, the National University of Singapore has successfully pioneered the pilot phase of the Communities & Engagement (C&E) Pillar that provides meaningful service-learning for students and transformational impact for
-
(SCALE), established in 2016 as the National University of Singapore’s (NUS) hub for lifelong learning, is both an academic school and a university-wide platform. As a school, SCALE specialises in multi
-
programming languages. Experience with CI/CD tools, containerization (Docker), and version control (Git). Problem-solver mindset — you enjoy building, debugging, and scaling complex systems. A strong learning
-
support covering academic matters, immersive learning, and career-related initiatives. • Analyse student data and feedback to support continuous programme improvement and inform management decisions