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Field
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learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
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(e.g., tensor or multi-modality data). Work with other researchers and PhDs to develop AI applications related to image processing, computational imaging as well as computer vision. Lead a team of junior
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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
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The EPSRC Postdoctoral Pathway supports EPSRC-funded PhD graduates who are excited about taking the first steps towards research independence with a two-year Fellowship. The scheme offers
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Fixed term contract 35.0 hours per week The role The EPSRC Postdoctoral Pathway supports EPSRC-funded PhD graduates who are excited about taking the first steps towards research independence with a
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(e.g., tensor or multi-modality data). Work with other researchers and PhDs to develop AI applications related to image processing, computational imaging as well as computer vision. Lead a team of junior
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is aimed at technical innovations in computer vision and computer graphics (segmentation, registration, tracking and visualisation) to enable real-time interaction for surgical planning and decision
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at the University of Adelaide, contributing to cutting-edge research in computer vision and machine learning for space applications. This role focuses on advancing machine learning and computer vision research, with
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, tasks, duties, and assignments. Furthermore, job duties, responsibilities and activities may change at any time with or without notice. Required Qualifications Education: DVM, MD, DO or PhD, in in biology
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in USN’s PhD-program in Ecology within three months of accession in the position. The vacant position is part of a collaboration between the Colour Vision and Retinal Imaging Laboratory headed by Prof