417 Computer-Science-"https:"-"https:"-"https:"-"Data-driven-Materials-Modeling" positions at Monash University
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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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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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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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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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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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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...
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, collaborating with academics and staff Transform ideas into impact by enabling research initiatives and programs The Opportunity The Medicine, Nursing and Health Sciences (MNHS) Faculty Office is seeking
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scholarship opportunity may be available for this project. Monash Engineering is a leading global centre for research consistently placing highly in international ranking lists. We engage with industry and
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completion); Applied for admission to a PhD program at an Australian university or be a student enrolled in their first 12 months of study in a PhD program at an Australian University; A university supervisor