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ecological research, with demonstrated ability to undertake advanced dive survey methods. Knowledge of rocky reef ecosystems, with particular reference to invertebrate and macroalgae communities. Excellent
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
connected to phylogenetic software, methods and models, molecular evolution, hybridisation and introgression, and the evolutionary histories of eucalypts, viruses, bacteria, and Archaea. The ANU Phylogenomics
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Research Infrastructure? No Offer Description Based in School of Computer and Information Technology (Mawson Lakes) Full-time (1.0 FTE), 11-month fixed term contract Salary Range: $114,917 - $135,932 per
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statistical methods including multilevel modelling, psychometric scale validation (EFA/CFA), structural equation modelling and causal inference approaches appropriate for complex education datasets. Advise
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researchers, or clinical trainees, and supporting their development in systematic reviews, evidence synthesis, epidemiology and research methods · strong computer literacy, including statistical software
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Earth Engine, ENVI, MATLAB, or R. Desirable Proficiency in applying machine learning methods to multispectral and hyperspectral data for detecting crop diseases and estimating crop yield and quality
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Islander peoples. This could include describing the epidemiology, incidence, mortality, risk factors and clinical management using linked datasets; and/or leading mixed methods research to inform
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zero 2050 targets. Advance national building energy tools, developing HVAC sizing methods within AccuRate and AccuRate Home for NatHERS. Work on applied, real‑world modelling that directly informs
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 1 month ago
processing, computer programming, and fieldwork are encouraged to apply. The successful candidate will be a member of the Geophysics Department based at RSES. RSES is Australia’s leading academic research
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codesign fieldwork methods with long-term partners in the Hunter Valley to understand community perceptions of, and backlash to renewable energy infrastructure. We will also develop expanded, critical