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focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology
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and single-cell omics (transcriptomics, proteomics, epigenomics, metabolomics, meta-transcriptomics, etc.) data. Independently carry out computational and bioinformatics analysis for large-scale spatial
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orientation. Relevant projects may make use of large-scale survey data, administrative or register-based data, repeated cross-sectional or longitudinal designs, evaluation studies, or combinations
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requires complex and time-consuming workflows that limit their use in large patient populations and routine clinical practice. This project aims to develop new methods for personalising cardiovascular
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an experienced, motivated quantitative Research Training Fellow to lead data integrative analyses in large-scale epidemiological studies of cancer and apply innovative methods in epidemiology, statistics and data
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responses. You will investigate how novel microproteins control immune-cell activation, cytokine networks, and resolution of inflammation, integrating mechanistic experimentation with large-scale molecular
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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execute advanced data management and statistical analysis methods on large scale surveillance, linked and administrative datasets Draft and finalise study concept sheets, statistical analysis plans, code
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 8 days ago
18 Sep 2026 Job Information Organisation/Company AUSTRALIAN NATIONAL UNIVERSITY (ANU) Research Field Engineering Chemistry Engineering Researcher Profile Leading Researcher (R4) Application Deadline
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, the Research Fellow will execute defined research workstreams, contribute to analytical strategy, and generate reproducible and clinically meaningful insights from large-scale genomic and health data. Research