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While deep learning has shown remarkable performance in medical imaging benchmarks, translating these results to real-world clinical deployment remains challenging. Models trained on data from one
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The project involves building and curating a comprehensive food image dataset suitable for mobile AI applications. High-accuracy deep learning models will be trained on this dataset and then
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established protocols to ensure consistent, high-quality imaging outcomes. Ensure efficient processing, organisation, and secure storage of research imaging data in accordance with Facility and University
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Deepfakes, derived from "deep learning" and "fake," involve techniques that merge the face images of a target person with a video of a different source person. This process creates videos where
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electrochemiluminescence (ECL). Proven experience developing prototype sensors, including surface modification and electrochemical interface design. Capability to integrate optical characterisation methods (e.g
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building the systems, processes, and culture that make it possible. What You’ll Do: Lead Strategy & Operations: Drive the Principal Gifts Strategy and ensure its seamless execution across a fast-paced
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. This would provide thousands of diverse example images with corresponding body part locations. These data would be used to train a deep learning model 5, 7 . The model’s high-quality body part predictions may
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Digital Media : Interaction design, Animation, Digital imaging, Sound Design Studies: Graphics, Spatial Concepts, Illustration, User Experience Design Game Design : Game Design Studio, Coding Unity, C
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enhancements to data collection processes and uphold university and governmental data standards. About the team The Research Outputs and Academic Profiles team is responsible for the stewardship
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to provide best practice veterinary care and student teaching as part of the Small Animal Surgery team, within a multi-discipline specialty hospital Base Salary HEO3, Step 1 (38 hpw), $79,219 p.a. + 17