406 data-"https:" "https:" "https:" "https:" "https:" "https:" "University of Exeter" research jobs in Australia
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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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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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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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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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, 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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, 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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actively contributing to clinical trial activities, performing trial participant recruitment, undertaking core aspects of clinical trial work and contributing to data entry and patient follow up. Your key
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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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committees, perform administrative functions, provide support to colleagues, and uphold university values. This is a research focused position. Further information can be found by viewing UQ’s Criteria
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excellence in field-based hydrodynamics, water quality, groundwater, and meteorological monitoring, supported by significant specialist equipment and boat-based data collection. The School of Civil Engineering