385 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nanyang Technological University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Computer Science
- Economics
- Engineering
- Business
- Education
- Medical Sciences
- Science
- Biology
- Materials Science
- Mathematics
- Environment
- Psychology
- Sports and Recreation
- Arts and Literature
- Electrical Engineering
- Social Sciences
- Earth Sciences
- Linguistics
- Philosophy
- Chemistry
- Design
- Humanities
- 12 more »
- « less
-
), hospitality and auxiliary services (car parks and shuttle bus services) in NTU main campus and NTU@one-north. OCAS is looking for detail-oriented and proactive professional to join the team as Senior Executive
-
quantum information theorists to integrate secure key rate calculations with simulations. Investigate and apply AI and machine learning techniques to improve and support secure-by-design development
-
and analyze large-scale multi-omics datasets (genomics, transcriptomics, epigenomics) to derive biological insights Apply statistical and machine learning models to identify cancer risk biomarkers
-
research team as a Research Engineer. The successful candidate will support ongoing research initiatives by applying advanced machine learning, NLP, and large language models (LLMs) to develop next
-
machine learning models and neural circuits in the brain process states of emotion. The Nair group combines cutting-edge experimental tools with the development of new AI methods to understand and model
-
reputable university Research experience in computer vision, machine learning, or closely related research fields is preferred Strong mathematical background and aptitude Substantial experience in programming
-
, including Computational Fluid Dynamics (CFD) for thermal analysis and energy simulation for consumption modelling. Design, train, and implement advanced machine learning and deep learning algorithms
-
robust mobile or web application that is supported by computer vision, machine learning and automated feedback systems for SSGs. Liaise with personnel (e.g., PI, vendor, instructor, student participants
-
: Masters/Ph.D. degree in Electrical/Computer Engineering, specialized in Power Systems/Renewable Energy Planning/Optimization At least 5 years of professional experience with a strong focus on power system
-
, such as, geometric/topological/algebraic data analysis, geometric/topological deep learning, Math for AI, categorical deep learning, sheaf neural networks, PINN/KAN models, neural operators, etc, and