424 machine-learning-"https:"-"https:"-"https:" positions at Nanyang Technological University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
technologies, including Generative AI, Agentic AI, Machine Learning, Robotic Process Automation (RPA), and digital productivity tools, and translate them into practical business solutions. Promote a culture of
-
to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and
-
Science and Engineering, or a related discipline Research experience in optical imaging, structured-light three-dimensional reconstruction, computational imaging, computer vision, machine learning
-
. People Leadership & Capability: Mentor, empower, and develop a high-performing team of IT directors, managers, and technical specialists, fostering a culture of continuous learning, agility, and service
-
operations, facilities, equipment, resources and schedules. Provide technical expertise in machining, fabrication and Computer Numerical Control (CNC) operations. Support faculty, researchers and students with
-
: Furthering Adoption of Integrated Resources to Shape Integrated Learning Experiences: Primary 5 and 6 Study Project Introduction: This study delves into science learning in Primary 5 (P5) and Primary 6 (P6
-
Qualification Requirements: Master degree in Computer Engineering, Computer Science, or a related field from a prestigious institution. Extensive experience in deep learning, AI, computer vision, 3D
-
good academic publication record Familiar with a few key engineering software such as MATLAB, Python, R-language, and ArcGIS, etc. Good to have knowledge of network analysis, machine learning, neural
-
PhD students. Key Responsibilities Develop numerical twins for digital quantum computer Develop mapping of many-body problems into class of Hamiltonians compatible with our experimental machines Report
-
of mental health speech transcripts Design and extract text features for modelling ultra-high-risk outcomes Design and improve existing multimodal machine learning frameworks for predicting ultra-high-risk