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sciences or engineering and aim to pursue a research project that includes the application of artificial intelligence (AI) to their domain. The program funds cutting edge applications of AI in the natural
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
opportunity This position is a fixed term appointment for a period of one year (up to 12 months) to contribute to research in artificial intelligence, with a particular focus on large language models and their
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and apply advanced methods in automated treatment planning, artificial intelligence, adaptive treatment delivery, and clinical workflow optimization to improve both the quality and efficiency
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and AI-enabled threats using large language models (LLMs), artificial intelligence techniques, and empirical security analysis methods. Support the design and implementation of research prototypes and
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PROGRAMME AND TRAINING: The research fellowship is situated at the intersection of human-centred Artificial Intelligence, production management, and AI systems governance. Its objective is to investigate how
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: Artificial Intelligence (AI) Quantum Information Science and Technology (QIST) Microelectronics Biotechnology Critical minerals Nuclear fuel recycling Advanced manufacturing Grid-edge technologies While not
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strategies Design of user-friendly tools for the identification of unknown compounds from the spectral datasets utilizing various computer algorithms and artificial intelligence tools Participation in high
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School is conducting research at the interface human and artificial intelligence. We create methods and tools that enable humans and machines alike to interact with and generate insights from biomedical
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curious to deliver work that matters, your journey starts here! Applications are invited for the Carnegie Bosch Postdoctoral Fellowship for the Fall Semester of 2026 in the areas of artificial intelligence
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on Artificial Neural Networks and Gaussian Process modelling, to accelerate processing optimisation. Consolidate experimental, techno‑economic, and sustainability data into robust technical evidence packages