Sort by
Refine Your Search
-
committed to excellence in research and teaching within a full residential programme that integrates living and learning. Its curriculum educates students in Asian and Western intellectual traditions as
-
in the area of machine learning (ML)/deep learning (DL). The applicant must be well-versed in the necessary ML/DL tools and techniques with an application in remote sensing/earth observation. It is
-
for application of research outcomes; Contribute to knowledge exchange activities with external partners and collaborators; Requirements A PhD in Computer Science, with specialization related to machine learning
-
, solution and implementation of robust traffic signal control of the intersections using machine learning methods. The role involves the opportunity to work with the research team within National University
-
expertise in other aspects of quantum computing such as quantum machine learning, near-term quantum algorithms, quantum approximate optimization are encouraged to apply. • PhD in electrical engineering
-
learning, multi-armed bandits). Each position is expected to last from one to two years. The start date is negotiable. The candidate is expected to have a PhD in electrical engineering, computer
-
background in applied empirical methods, coupled with a keen interest in pursuing a quantitative marketing PhD degree with a focus on machine learning or structural modelling. Responsibilities: The successful
-
learning (reinforcement learning, multi-armed bandits). This position is expected to last from one to two years. The start date is negotiable. The candidate is expected to have a PhD in electrical
-
The appointed candidates will support the planning and execution of research projects alongside postdoc associate, PhD students, and RAs within the research group and the Centre for 5G Digital Building Technology
-
The appointed candidates will support the planning and execution of research projects alongside postdoc associate, PhD students, and RAs within the research group and the Centre for 5G Digital Building Technology