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This research focuses on developing and evaluating methodologies for the optimal design of control charts within the framework of Statistical Process Control (SPC). The study aims to determine the
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also explore the role of AI to guide or suggest analytics. Patient Data Analysis, Procedure Planning & Organ Segmentation: we will explore immersive XR interaction techniques for patient data
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Lecturer (Education Focused) - Electrical and Computer Systems Engineering Job No.: 688449 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $118,974
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Lecturer/ Senior Lecturer - Electrical and Computer Systems Engineering Job No.: 688022 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration: $114,951
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anomalies in evolving graphs. In this research proposal, our aim is to explore the parallels of deep learning and anomaly detection in dynamic graphs. In particular we are interested to redesign deep neural
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tumour treatments involve surgery, chemotherapy, radiotherapy and steroids. Chemotherapy drugs in particular, by themselves or in combination with other treatments, are very well proven at killing cancer
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roles in both Australia and Hong Kong. In a parallel sporting career, Chris was also a two-time Olympian in 1976 and 1980 and the Head Coach of the Australian Track and Field Team at the Sydney Olympic
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technologies will affect them. It is our anticipation that the work will commence with, in parallel, the survey for collecting the data and a comparison of machine learning methods on artificial pseudo-randomly
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, containerisation (Docker), and basic bioinformatics pipelines will be preferred. Cross-disciplinary training and co-supervision with computational and neuroscience partners under GEMS 2026 will be provided. Project
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new approaches for a playful human-computer integration future. For more information see http://exertiongameslab.org The result will be a thesis in the field of interaction design.