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the ARMI Student Program, encompassing HDR, Masters and Honours. This position focuses on the strategic development of the Student Program and is responsible for leading and delivering high-quality teaching
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. The Opportunity This interdisciplinary PhD project between IT and the social sciences will explore the development of computational approaches for detecting and analysing misogynistic backlash ecosystems across
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Candidates should hold a previous degree (Bachelor’s and/or Master’s) in Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering, with demonstrated knowledge in machine
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candidates with an undergraduate or postgraduate qualification in a computing discipline such as data science, artificial intelligence, machine learning or computer science. which has included training in
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This project aims to develop a computer vision system capable of detecting and classifying domestic geographic landmarks in images and video content. By categorizing locations such as “childcare
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development of the University's podiatry program. The position delivers engaging learning experiences across lectures, tutorials, practical classes, workshops and clinical education, while contributing
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their performance evaluated in terms of classification accuracy, computational speed, and overall usability. Required knowledge Deep learning (CNNs, Transformers) and computer vision Knowledge distillation for model
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relationships with a diverse range of stakeholders, are essential. You will also possess strong computer literacy, including experience using Microsoft Office and business systems such as StarRez and Pulse. About
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while allowing you to tailor the project to your preferred methodologies, new skills you wish to develop, and your long-term career goals. The broader program of the BloodCare CRE (www.bloodcarecre.org
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Artificial Intelligence is rapidly transforming healthcare by assisting clinicians in disease diagnosis, prognosis, and treatment planning. While recent advances in deep learning and large language models (LLMs) have significantly improved predictive performance, most existing AI systems remain...