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about experimental testing, real-world research, and contributing to Australia’s defence capabilities, we’d love to hear from you. About the Role You’ll be part of a research team focused on large-scale
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Australian National University | Canberra, Australian Capital Territory | Australia | about 13 hours ago
support program, dual career hire programs, staff and family tuition fee discounts, ANU school holiday programs, and childcare facilities on campus. For more information, visit: https://services.anu.edu.au
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 5 days ago
and family tuition fee discounts, ANU school holiday programs, and childcare facilities on campus. For more information, visit: https://services.anu.edu.au/human-resources About the College The ANU by
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Australian National University | Canberra, Australian Capital Territory | Australia | about 13 hours ago
biomolecules. Proficiency in programming or scripting for simulation and data analysis, along with experience using high-performance computing environments, is required, and experience using structure prediction
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linked to the microbiome, metabolites and diet. This will include working with large datasets (e.g. proteomics, metabolomics and metagenomics) collected from a pregnancy-birth cohort of children at-risk of
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to the principles of equity, diversity and inclusion. Desirable characteristics: Experience of handling large sets of samples from multiple collaborators. Experience with HPAEC-PAD, mass spectrometry and HPLC systems
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charge of the experimental part. The two teams will collaborate closely, and the candidate is expected to integrate their modelling work within the experimental tasks. For more information on the research
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to carry out research in the field of plant breeding, phenotyping, crop modelling, GWAS and genome analysis, particularly in cereals Demonstrated capacity to manage and analyse large data sets. Track record
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Associate: Physics- Informed Data Driven Windfarm Modelling For this position the research activity will apply and advance on fast CFD methods for full wind farm simulation based on Large-Eddy-Simulation
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with children or young people with lived experience and/or learning difficulties. Experience working with and synthesising large datasets. Demonstrated ability to undertake high quality academic research