Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
-tier AI conference and journals. Internal knowledge transfer, and collaborative research efforts Requirements: Minimally a Bachelor’s degree in Artificial Intelligence, Computer Science, Optimization
-
, including traffic prediction, optimization, and safety enhancements. Key Responsibilities: Develop and implement machine learning models for air traffic prediction, flow management, and conflict detection
-
School of Physical and Mathematical Sciences (SPMS) Nanyang Technological University, Singapore Associate Prof / Full Professor in Optimization, Control, and Scientific Computing Young and research
-
As a Procurement Lead, you will play a pivotal role in ensuring our University's success by optimizing our procurement processes, building strong supplier relationships, and driving cost savings
-
insights from both external and internal data to facilitate evidence-based decision making at all levels of the University. 2. Build databases, develop data analytics and implement strategies to optimize
-
optimize real-time autonomous AI agents for immersive 3D game environments. This role involves a unique blend of cutting-edge research in computer vision, large language models (LLMs), and real-time action
-
://www.linkedin.com/company/nus-office-of-finance/ Job Overview We are seeking an experienced and driven Concur Team Leader to lead, optimize, and evolve the Travel & Expense (T&E) Management process at NUS, ensuring
-
. The role will involve designing and optimizing processes for material development, functionalization, and performance evaluation to support SusTex’s research in sustainable textile recycling and material
-
Operations Manager plays a critical role in supporting the NUS Office of Legal Affairs department by managing and optimizing legal technology solutions and driving operational excellence. The role is
-
optimization and financial strategy. Benchmarking & Best Practices: Support research and implement industry best practices in cost management and productivity analysis. Benchmark faculty costs against peers and