Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Monash University
- The University of Queensland
- Curtin University
- Australian National University
- University of Adelaide
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- RMIT University
- Flinders University
- James Cook University
- Queensland University of Technology
- Macquarie University
- University of New South Wales
- Deakin University
- RMIT UNIVERSITY
- UNIVERSITY OF WESTERN AUSTRALIA
- University of South Australia
- University of Wollongong
- Australian Catholic University
- Central Queensland University
- ;
- CSIRO
- Charles Sturt University
- La Trobe University
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Nature Careers
- The University of Western Australia
- University of Tasmania
- University of Western Sydney
- Zonta International Women in Business Scholarship
- 19 more »
- « less
-
Field
-
-keeping, and data analysis. High personal motivation, ability to work independently, show initiative, problem solve and work productively as part of a highly collaborative team. Position description
-
-keeping, and data analysis. High personal motivation, ability to work independently, show initiative, problem solve and work productively as part of a highly collaborative team. Position description
-
, data management, data analysis, and reporting. Experience using statistical/programming tools or packages, such as SPSS, Stata and/or R. Excellent interpersonal skills and proven ability to establish
-
of information theory and apply them to critical biodiversity, fisheries, disease, and invasive species challenges. Key responsibilities will include: Research Lead peer-reviewed publications in high-quality
-
on the development of a national-scale land use–transport interaction (LUTI) model. This model will be central to the project, generating critical indicators such as job accessibility and population
-
support of high-quality research outcomes at all stages of the project, including data collection and analysis, and dissemination of project results via research publications, conference presentations, and
-
classification. Strong background in experimental design, statistical sampling and analysis in field settings. Skilled in GNSS‑based geolocation, GIS software (e.g. QGIS, ArcGIS) and programming (Python, R
-
Job Reference: 997149 About the role We are seeking a motivated Research Fellow - Qualitative Data Collection and Analysis to join our NHMRC Assess for Success team. We will be looking to transform
-
offshore geotechnics, at the forefront of research in offshore renewables. The SEO is home to a critical mass of researchers spanning ocean engineering, oceanography and marine science. In addition to COFS
-
trials. Experience developing or delivering research translation and impact strategies and outputs. Hands-on experience with quantitative data analysis. *Aboriginal and Torres Strait Islander people