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and protect patients’ vision. The successful candidate will develop novel deep learning approaches to model longitudinal sequences of high dimensional OCT images, identifying biomarkers for conversion
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, specifically in Computer Vision Proficiency in python and deep learning libraries (pytorch, Tensorflow) Preferred Qualifications: Experience in Medical Imaging (ideally in Ophthalmology) Track record
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Responsibilities: To independently undertake research on data-efficient object detection with key techniques in few-shot learning, transfer learning, image synthesis, etc. To produce research reports and/or
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Full-time, 2-year fixed-term role, with the possibility of extension An exciting opportunity to join the Snow Vision Accelerator Program either as a Postdoctoral Research Associate or Postdoctoral
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, 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
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to the project. Job Requirements: PhD degree in Computer Science, Electrical and Electronic Engineering, or related field. Min 3 years of relevant experience in computer vision, artificial intelligence, etc
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, 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
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computing. With extensive experience in medical image analysis, computer vision, and AI systems through collaborations with leading institutions. Key Responsibilities: Conduct advanced research in the areas
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a postdoctoral fellow to provide primary analysis of imaging and other data related to the Udall Center's primary research study and a similar study, the University of Groningen Dutch Parkinson Cohort
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opportunity to join the Snow Vision Accelerator Program either as a Postdoctoral Research Associate or Postdoctoral Research Fellow, based at Bell Group, Snow Vision Accelerator, Charles Perkins Centre, Faculty