103 machine-learning "https:" "https:" "https:" "https:" "https:" positions in Australia
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For in Asia. To find out more about RMIT Vietnam and our current vacancies, please visit our website: https://www.rmit.edu.vn/careers Your role This position is responsible for operating the machines and
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Engineering is seeking a distinguished academic to join the Computing & Mathematical Sciences discipline as an Associate Professor / Professor in Human Computer Interaction & User Experience (HCI/UX). You will
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+ super. The role reports to the Manager, Operations and has no direct reports. Learn more about UNSW Student Accommodation where this role works: https://www.unsw.edu.au/accommodation Key Responsibilities
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accelerate the global shift to electric mobility. This PhD will build an AI-driven fleet-scheduling framework that learns from battery data in real time and optimises charging, operations and maintenance
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focus on processing and utilising machine-learning techniques to analyse large volumes of data from sensors installed in Phase 1. The aim will be to merge the QC points and tracking system developed in
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. Desirable Familiarity with cloud, virtual machines or distributed computing environments. Exposure to machine-learning frameworks (e.g., TensorFlow, PyTorch). Interest in developing scalable and secure
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(e.g., Docker, Kubernetes, cloud/edge environments). Demonstrated expertise in AI, distributed computing, machine learning, or systems software design. Strong background in software engineering
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staff position within a Research Infrastructure? No Offer Description Lead world-class AI research and education at RMIT. Shape the future of Generative AI, Machine Learning, and Data Science through
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staff position within a Research Infrastructure? No Offer Description Lead world-class AI research and education at RMIT. Shape the future of Generative AI, Machine Learning, and Data Science through
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to simulate key optical features and explore optimal alignment of beamline components. The resulting data will be used to train a machine learning (ML) model, enabling automated and efficient beamline alignment