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" "Machine-learning-based imaging processing" webpage For further details or alternative opportunities, please contact: haoran.ren@monash.edu.
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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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strengths and contribute actively to their goals, including leading research programs that exploit molecular imaging capabilities to enhance the radiopharmaceutical program at UQ. These activities should
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analysis, contextual analysis, audio feature extraction, and machine learning models to identify and assess potentially dangerous content. Similarly, computer vision models are implemented to analyse images
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science or mechanical/chemical/computer engineering or related area digital twin and systems engineering, with the ability to model, simulate, and optimise complex manufacturing processes industrial
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services. This Program will enable the University to achieve its performance targets and align to the University’s strategic priorities. The Process Lead is a key role in the Program and is responsible
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process on the micro-pilot scale to improve efficiency and product quality. About you PhD in data science or mechanical/chemical/computer engineering or related area digital twin and systems engineering
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Overview: 1x full time, fixed term (17 months) position available within the School of Science Salary Academic Level A + 17% Superannuation Based at the City campus but may be required to work and
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Fixed term, full time, two-year position. Located in the School of Electrical and Computer Engineering in J03 Office, Engineering Precinct, Darlington. Opportunity to provide education and
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systems. The fast growth, practical achievements and the overall success of modern approaches to AI guarantees that machine learning AI approaches will prevail as a generic computing paradigm, and will find