378 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of Plymouth" research jobs in Australia
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support: Assists with the development of research/analytical protocols Contribute to manuscript preparation, including data visualisation, and documentation of experimental methods and results methods
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Home About History Membership Management Committee Fellowships (Postgraduate Scholarships) Eligibility General Information Application Procedure Checklist for Applicants Past Fellowship Holders 2020
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the community • Studying health disparities and outcomes using epidemiological data The University of Sydney are seeking one part-time (0.4FTE) Research Assistanta to join EPIC-ND, a MRFF-funded research project
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, and manage data analysis. They also collaborate with researchers and stakeholders to ensure a seamless flow of research documentation. Your key responsibilities will be to: Contribute to the design and
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). Perform data collection entry, and analysis. Maintain research databases, records and publication registers. Conduct statistical data reporting. Organise fieldwork arrangements. Monitor project deliverables
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relevant literature, and supporting the generation of high-quality data. This will be a lead role in coordinating and delivering project tasks, particularly those involving collaboration with industry
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team shaping national policy As Research Fellow, turn big data into real-world impact The Opportunity The National Addiction and Mental Health Surveillance Unit (NAMHSU) is leading a Medical Research
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machine learning, big-data analytics, and data-driven approaches to optimise composition–process–property relationships. Key responsibilities will include: Research: Conduct additive manufacturing research
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, Environmental Science (with a quantitative focus) or related fields; strong experience in large-scale data processing and management, including working with high-dimensional, multi-country or time-series datasets
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of all.” The incumbent will be highly experienced in NHMRC research projects and specifically be experienced with large healthcare data sets and possess advanced skills in intensive care research Your key