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Intelligence, with particular emphasis on applications in Health and Medicine, beginning in Fall 2027. We seek candidates conducting innovative research in areas such as machine learning, generative AI
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deep learning and large language models, is desirable. Experience with Python and common machine learning frameworks (such as PyTorch or TensorFlow) is highly valued. Familiarity with topics such as
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methods and deep learning to enable scientific reasoning. Develop software prototypes for automated research workflows that integrate autonomous discovery pipelines with modern deep learning architectures
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relevant failure mode is usually not a malicious attacker but a capable, misdirected tool running with legitimate user permissions at machine speed: hallucinated commands, instructions hijacked by retrieved
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related field at the level of a master degree Programming skills (Python) and experience with common machine learning platforms Experience with deep learning, computer vision, medical image analysis
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custodians of the land, sea and waters of the areas upon which we live and work. We recognise their valuable contributions and deep connection to country and pay respect to Elders past and present. Use your
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ability to deliver solutions from scoping and data analysis through deployment and documentation. Applied Machine Learning: Possess deep, practical knowledge of machine learning fundamentals, with proven
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• SLAM, autonomous driving and mobile robotics • Remote sensing, image/video processing and computer vision • Object detection, tracking and classification using deep learning • Monitoring
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and digital learning resources. This position requires a strong commitment to teaching legal research and technology skills essential to the practice of law, and a deep understanding of the Law School’s
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AI and/or ML that may include natural language processing (NLP), natural language understanding (NLU), semantic understanding, intent classification, computer vision, deep learning, and automatic