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interview research participants and conduct other appropriate ethnographic methods in regional case study locations, and other key stakeholders in relevant sectors contribute to and lead written outputs
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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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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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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 | 3 days ago
issues/edited collections and present and participate at conferences and contribute to publications. The Person The successful applicant will hold a PhD in either History, Heritage/Museum Studies
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. This position is suited to an independent, research-focused academic with a strong publication record and demonstrated expertise in modern epidemiologic methods, advanced analytics and coding in R, and
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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 2 months ago
methods (e.g., clinical trials, surveys, focus groups), alongside proficiency in data management and analysis using software such as SPSS, Stata, R, or equivalent. Excellent time management, organisational
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: Bridging the Lab–Life Gap . This project will use groundbreaking methods to assess the cognitive function of older adults in real world scenarios in a manner previously considered intractable. The data will
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requirements, and data collection methods (e.g., clinical trials, surveys, focus groups), alongside proficiency in data management and analysis using software such as SPSS, Stata, R, or equivalent. Excellent
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experience applying these methods to real-world systems and technologies. Familiarity with software tools such as SimaPro, OpenLCA, Aspen Plus, MATLAB/Python, and data visualisation platforms. Demonstrated