413 machine-learning-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions at Nanyang Technological University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
processing, ship performance analysis, machine learning algorithms (Deep learning, Reinforcement learning, etc.); Proficiency in written and spoken English - essential for data analysis and communication with
-
through: Student-led activities and leadership development initiatives Residential hall programmes and integration efforts Community engagement and overseas service-learning projects Arts, sports, and
-
accounts, NTULearn, ServiceNow, classroom bookings, etc. Provide administrative support for programme-related matters. Assist in managing the approval process for curricula changes and new course proposals
-
Singapore, Indonesia, and the broader Southeast Asian region. Experience with machine learning or data-driven approaches for subsurface imaging or hazard assessment (preferred). We regret to inform that only
-
Centre) and auxiliary services (car parks and shuttle bus services) in NTU main campus and NTU@one-north. The Nanyang Executive Centre (NEC) is located at the NTU Main Campus. Currently undergoing
-
and intelligent networked systems, including theoretical and system-level research Demonstrated capability in advanced communication technologies, antenna systems, and machine learning–enabled methods
-
: Developing Teacher competencies in Aesthetically-Infused Inquiry-Based Learning (AIIBL): An intervention to move IBL in Humanities and Arts to the next phase Project Introduction: This Design-based Research
-
individual and organisational capability to support sustainable wellbeing. This role focuses on supporting the design and implementation of structured wellbeing learning initiatives, enabling leaders and units
-
Assistant Manager (Programme Operations), Nanyang Executive Education Nanyang Executive Education (NEE), a division of Nanyang Business School, delivers enterprise and public executive learning
-
sustainability. It addresses disparities in access to spatial learning that affect students’ ability to interpret complex systems such as climate, energy, and ecological processes. Using a comparative approach