47 processor-"https:"-"UCL"-"https:" Fellowship positions at Nanyang Technological University
Sort by
Refine Your Search
-
with comprehensive baselines and validate results Job Requirements: Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical
-
experiments on nearshore seawater monitoring Prepare grant proposals and project reports Program using Python and test theoretical findings via computer simulations Test the methods via lab experiments Publish
-
an experimental apparatus aiming to develop a quantum processor based on Neutral Atom Arrays. The role will focus on developing the experiment, data acquisition and analysis, and supervision of undergraduate and
-
be preferred. Requirements: PhD degree in Learning Sciences, Educational Technology, Human-Computer Interaction (HCI), Information Technology, AI, or a relevant field Demonstrated experience and
-
delivery of assigned Thrust 3 milestones and outputs. Job Requirements: PhD in Electrical or Electronic Engineering, Computer Science, Computer Engineering, Cybersecurity, Applied Cryptography, or a closely
-
computer programming Knowledge in traffic safety, urban transportation studies, traffic flow theory, operation research Strong written and verbal communication skills We regret to inform that only
-
strong background in relevant areas. Key Responsibilities: To independently undertake research in computer vision and machine learning. To produce research reports and/or publications as required by
-
intelligence, including machine learning and computer vision, robotics, and physics-based modelling, the DISC Lab pioneers new methods for monitoring, digitalization, and automation in construction. We
-
University focused on advancing computer vision, multimodal AI, generative AI, and embodied AI. Founded in 2018, the lab has grown into a vibrant research group with around 40 members comprising faculty
-
University focused on advancing computer vision, multimodal AI, generative AI, and embodied AI. Founded in 2018, the lab has grown into a vibrant research group with around 40 members comprising faculty