214 computer-"https:"-"https:"-"https:"-"https:"-"I.E"-"UCL" Fellowship positions in Singapore
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
reporting and laboratory safety coordination. Key responsibilities Research execution (primary responsibility) Plan and conduct laboratory and/or computational experiments under the guidance of senior
-
strategic research development, programme-level integration, synthesis, dissemination, and collaboration activities. This role offers an exciting opportunity to contribute to centre-wide research outputs
-
programme at the intersection of optics, electrical engineering, artificial intelligence, and experimental biology, with the aim of building closed-loop, autonomous experimental platforms that accelerate
-
will publish relevant results to cryptography conferences/journals Job Requirements: PhD in Mathematics and/or Electronics and/or Computer Science Ability to work independently and as part of a team with
-
Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated...
-
based on performance and funding availability. Review of applications will begin immediately and continue until the position is filled. Qualifications • PhD Degree in Electrical and Computer Engineering
-
The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
-
communications with excellent written, oral communication and computer skills. A team player who is able to prioritize, multi-task and work collaboratively in a diverse workforce. We regret to inform that only
-
psychology, cognitive science, human-computer interaction, communication science, or a related field. Strong background in psychological research methods (e.g., behavioral, experimental, interviews, mixed
-
multidisciplinary research programme focused on developing advanced AI-driven methods for neuroimaging, digital phenotyping, and population brain health. This programme brings together expertise in artificial