275 condition-monitoring-machine-learning-"Multiple" Fellowship positions in Australia
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distribution across multiple HSR scenarios. You will work alongside a team of internationally renowned experts in transport and urban planning, including Associate Professor Liton Kamruzzaman, Professor Hai Vu
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our world class teaching hospital at the Flinders Medical Centre in South Australia to multiple rural clinical locations all the way to Darwin in the Northern Territory. Our research and teaching equip
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: Developing and deploying machine learning models (e.g. graph neural networks, neural force fields, diffusion models) for molecular property prediction and molecular generation. Integrating quantum chemistry
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data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python), including a sound understanding of FAIR data principles, data management and
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techniques such as PCR, modular cloning, Golden Gate assembly, USER assembly, and CRISPR/Cas9-based genome editing; Sound understanding and practical experience applying the Design-Build-Test-Learn (DBTL
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, integrated teaching programs and high-quality clinical services. Our footprint reaches out from our world class teaching hospital at the Flinders Medical Centre in South Australia to multiple rural clinical
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social wellbeing through ground-breaking research and innovative teaching. You can learn more about Adelaide University HERE and more information will be provided throughout the recruitment process. To Be
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vulnerabilities in lung cancer.” This work forms a critical part of the next phase of the project, which is now entering a high-intensity stage involving collaboration across multiple institutions. The Person We
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, cluster randomised controlled trials implementation science, data linkage, data science, machine learning and artificial intelligence. In this role, you will have the opportunity to engage in a series of
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. Proficiency in deploying and managing wildlife camera‑trap networks and processing large image datasets. Experience developing and validating machine‑learning and AI models for image object detection and