Sort by
Refine Your Search
-
requirements: PhD degree in Computer Science, Electrical and Electronic Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in
-
areas. Key Responsibilities: To independently undertake research in computer vision and machine learning. To produce research reports and/or publications as required by the funding body
-
, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
-
, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
-
Postdoctoral Fellow – Mitochondrial Microproteins & Therapeutic Innovation Lena Ho Lab | Duke-NUS Medical School, Singapore Cardiovascular & Metabolic Disorders Programme Advance scientific
-
Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be
-
models using frameworks such as PyTorch and TensorFlow. Research experience in medical image analysis using deep learning algorithms. Strong track record in machine learning, computer vision, and medical
-
region to play a more significant role in the promotion and development of international law. CIL's vision is to become a regional intellectual hub and thought leader for research on and teaching of
-
, National University of Singapore. The vision of the Network is to improve public health by developing the clinical evidence base for the prevention and treatment of drug-resistant infections. Its mission is
-
Centre for Advanced Robotics Technology Innovation (CARTIN) is seeking a highly motivated Research Fellow to join our cutting-edge research team focused on high-speed vision perception