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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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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
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-edge research team and drive innovations in computational cognitive neuroscience and brain imaging Investing in you - benefits package including salary packaging, health and wellbeing programs
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imaging research. The role will focus on implementing infrastructure for scientific data movement and analysis workflows in AIS. The Research DevOps Engineer will be based in the Research Technology team
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references) as part of the application process. Essential criteria: A Bachelor’s or Master’s in molecular biology, cell biology or related disciplines, and experience conducting research. Proficiency with
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qualifications in digital technologies, engineering, or equivalent experience; certifications (in Cloud Native Computing Foundation, Linux Foundation) highly regarded Collaboration & Communication: Strong ability
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PhD Scholarship Develop multimodal machine learning models to predict glioblastoma treatment outcomes using imaging and clinical data. Work with real-world data from John Hunter Hospital in a
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(formerly the Australian Technology Park). Your key responsibilities will be to: Undertake original research in developing methods of cone beam computed tomography interventional imaging undertake
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and a map can be seen on a computer screen in the background] [Image changes to show a male standing next to a multi-corer and smiling at the camera] [Image changes to show four researchers standing
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various computer applications including but not limited to Microsoft 365 and with the ability to leverage technology effectively to streamline processes and enhance productivity. Experience with Canvas is