288 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" positions at Monash University in Australia
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developing research proposals, advising researchers on funding opportunities, and managing internal grant programs. You will prepare high-quality documentation, maintain research information systems, and
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demonstrate strong analytical and problem-solving capabilities, alongside well-developed written and verbal communication skills to engage effectively with diverse stakeholders. High computer literacy
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compliance with privacy, confidentiality, and regulatory requirements, including student visa processes. It involves the accurate input, analysis, and management of data and records, providing sound and timely
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significant health and disability policy reforms. The successful candidate will undertake data-driven, policy-relevant research using advanced quantitative methods, including causal econometric analysis and
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, and how these dynamics affect access to care and population health. Using large-scale longitudinal administrative data and modern causal inference methods, the research will analyse how changes in pay
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climate science researchers, processes and data can lead to innovations in music. The successful applicant will join the Climate Vocabularies research team and contribute to the wider project within
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health, employment, and wellbeing outcomes for individuals and families. The successful candidate will join a highly collaborative research team using linked employer–employee administrative data
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degree, or High Second-Class Masters degree or equivalent in the health-related field. Strong quantitative research skills. An understanding of quantitative research methodology and data analysis. Evidence
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of the ARC Laureate Fellowship, providing hands-on support for data-intensive research activities. It will contribute to the curation and processing of UK Biobank data and assist in developing an integrated
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, characterization and evaluation of novel PfM1 and M17 aminopeptidase inhibitors. This would include compound design, data management and analysis and sample preparation as well as a range of drug discovery-related