637 computer-science-intern "https:" "https:" "https:" "U.S" positions at Monash University
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Science to contribute to groundbreaking clinical research in neurorehabilitation for people with stroke or brain injury. Based at The Alfred Centre, you’ll join one of Australia’s largest and most dynamic
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professional development. My professional path has been greatly influenced by the opportunities it has created for skill development, including networking events and involvement in initiatives related
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computers to large-scale multi-dimensional simulations on high-end supercomputers, depending on your interests and inclinations. "Modelling extreme supernova explosions: From fast and faint to bright and
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of their service and leadership in the peer mentoring community. Peer Mentoring Coordinators work closely with the Faculty and Portfolio of the Deputy Vice-Chancellor (Education) to manage key aspects of the program
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management, distributed computing, and energy-aware computing, preparing them for impactful roles in industry and research. Key Components and Example Scenarios Predictive Resource Allocation and Load
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open to candidates who can demonstrate and present valid and current Australian working rights. Supervision team The PhD candidate will be supervised by an interdisciplinary team with international
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Background and Motivation Modern deep learning models have achieved remarkable success in computer vision and natural language processing. However, they typically produce overconfident predictions
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in a relevant discipline Demonstrated excellence in education program design, delivery and innovation A strong publication record in education or allied health‑related research Experience leading
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, attention to detail and the ability to manage competing priorities are also essential, along with advanced computer literacy and experience coordinating multidisciplinary meetings. If you are seeking a role
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This Masters or PhD project aims to explain the uncertainty of Machine Learning (ML) predictions. To this effect, we must quantify uncertainty, devise algorithms that explain ML predictions and their uncertainty to different stakeholders, and evaluate the effect of the conveyed information. The...