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opportunity CSIRO has collected large amounts of valuable environmental DNA (eDNA) data and now has the chance to use this data to transform how we observe and protect marine ecosystems. Towards this end, CSIRO
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 3 hours ago
experience handling large genomic datasets, developing analysis workflows, and contributing to funding bids. Strong teamwork, supervision, and communication skills, along with a commitment to equity and
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an advanced AI-augmented digital platform (AiCT-Med) powered by cutting edge machine learning models trained on multiple large, aged care datasets from providers across Australia. The platform is designed
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23 Sep 2025 Job Information Organisation/Company RMIT UNIVERSITY Research Field Environmental science Geosciences Researcher Profile First Stage Researcher (R1) Country Australia Application
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to pregnancy, lactation, and menopause. In this role, you will support a range of projects by managing and analysing data from clinical trials, cohort studies, and large linked administrative datasets. You will
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will include managing three key projects, planning and executing fieldwork activities, data collation and analysis, and preparation of technical reports, peer-reviewed journal articles and presentations
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and Nutrition Sciences, the Research Assistant will be part of a large program of work focused on plant-based protein diets and their effects on muscle health in older adults. Conducting randomised
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responsibilities will include managing three key projects, planning and executing fieldwork activities, data collation and analysis, and preparation of technical reports, peer-reviewed journal articles and
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PyTorch or ONNX. Demonstrated experience working with large-scale data processing and deployment (local and cloud) including SQL database technologies. Demonstrated ability to represent complex data
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, including large language models (LLMs). Proven application of ML techniques to system security, particularly in the context of complex computer systems or networks, is highly desirable. Extensive experience