Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Computer Science
- Engineering
- Economics
- Medical Sciences
- Materials Science
- Biology
- Education
- Business
- Science
- Psychology
- Environment
- Chemistry
- Mathematics
- Electrical Engineering
- Social Sciences
- Earth Sciences
- Humanities
- Philosophy
- Sports and Recreation
- Arts and Literature
- Linguistics
- Physics
- Design
- Law
- 14 more »
- « less
-
degree in computer science or related field Strong scientific publication record Experience in discrete-event modelling and simulation and data-driven applications Excellent programming skills and
-
The College of Computing & Data Science (CCDS) invites applications for the position of Research Fellow. Key Responsibilities: Responsible for performing quality assessment for 3D digital asset
-
developing new a trustworthy federated learning paradigm characterized by fairness, transparency, accountability, robustness, security and privacy-protection. The College of Computing & Data Science (CCDS
-
The College of Computing & Data Science (CCDS) invites applications for the position of Research Assistant. The successful applicant will be responsible for the development of database algorithms
-
computer science, machine learning, data science, information science, mathematics, or related disciplines. Experiences/Knowledge in deep learning, reinforcement learning, and user interface development. Proficiency
-
: Possess a PhD degree in computer science, electronic engineering, applied mathematics, perception sciences, etc. Background knowledge in signal/data compression, and data-driven and machine learning
-
degree in natural science, climate science, geography, data science, engineering, or a related field is mandatory Prior experience with the collecting, processing and analysis of remote sensing data (e.g
-
in this project. Job Requirements: Candidate with degree in engineering/material science/physics/chemistry or related fields in preferred. 2 - 3 years of working experience is preferable, entry level
-
to develop urban solutions that address our national needs. Centre for Urban Solutions (CUS) is a research centre under the School of Civil and Environmental Engineering (CEE). The vision of the centre is to
-
Computer Science/Engineering, or Electrical/Electronic Engineering. Strong mathematical background Top-tier AI venue publications are very much preferred Minimum of 2 years of work experience in a related field