Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
-
Field
-
Job Description Job Alerts Link Apply now RESEARCH ENGINEER (LOGISTICS & SUPPLY CHAIN OPTIMIZATION) University-Level Unit: The Logistics Institute - Asia Pacific Faculty/Department-Level Unit
-
Job Description Job Alerts Link Apply now Research Assistant (Optimization & Systems Programmer) University-Level Unit: Inst of Operations Research & Analytics Faculty/Department-Level Unit: Inst of
-
, optimization, and delivery of digital learning solutions to enhance teaching, learning, and learner experience across the University. Key Responsibilities Support Edtech impact analysis and reporting, including
-
Job Description Job Alerts Link Apply now Job Title: RESEARCH ENGINEER (LOGISTICS & SUPPLY CHAIN OPTIMIZATION) Posting Start Date: 05/09/2025 The Role Are you passionate about solving complex
-
Research Associate (Artificial Intelligence/Computer Science/Optimization/Computational Linguistics)
solutions Requirements: Master’s degree in Artificial Intelligence, Computer Science, Optimization, Computational Linguistics, or a related field. Strong foundations in multi-agent systems, NLP and python
-
Engineering Design and Optimization Human Factor and Ergonomics AI-based Sensor Fusion Monitoring and Inspection using various sensors Optimization and control to implement sensors. Skills: FEM software (Comsol
-
We are seeking a highly motivated research Assistant to contribute to research project focused on photopolymer resin formulation and 3D printing optimization. This project aims to develop and
-
project). Job Requirements • A strong foundation in mathematics, particularly in probability and optimization. • A PhD degree (or close to PhD completion) in engineering or management science degree
-
one of the central challenges in quantum machine learning: how to train quantum systems efficiently and reliably on scaling quantum hardware. The research will develop novel optimization frameworks
-
algorithms and system frameworks that optimize cost, performance, and scalability. The role focuses on leveraging machine learning and reinforcement learning to enhance storage and service efficiency under