Sort by
Refine Your Search
-
Program
-
Employer
- Curtin University
- RMIT University
- Swinburne University of Technology
- University of Adelaide
- Queensland University of Technology
- Monash University
- University of Technology Sydney
- Australian Academy of Science Research Funding
- Griffith University
- Murdoch University
- Real Futures Grant
- The University of Newcastle
- University of Southern Queensland
- University of Sydney
- 4 more »
- « less
-
Field
-
A student with a strong background in statistics with Honours or Masters, excellent computing skills in R or Python, and an interest in working with biochemists and medical researchers. A student
-
an advantage. Quantitative analysis skills (e.g., statistics, network analysis, or modelling) or an ability and interest to develop these skills would be an advantage. How to apply To apply for this scholarship
-
-ground diversity. Employing an approach that integrates field-based research with advanced laboratory and statistical analyses. This project is part of the ARC Training Centre for Healing Country
-
, statistical analysis, or a relevant field be proficient in programming languages such as Python, R, or similar, for data manipulation, analysis, and modeling have strong analytical and problem-solving skills
-
, there is opportunity to improve this process including potentially using activity data (based on mobile devices). Areas that this project could relate to include applied economics/statistics, urban planning
-
information systems) Have a strong background in quantitative research and methods, including handling large datasets Have a sound understanding of statistics and experience using multi-level statistical
-
, Earth Engine), analyzing gridded data, and a working knowledge of Earth Observation physics, ecology, and statistics. The candidate should have a keen interest in further developing good analytical skills
-
., routing decisions through bushfire-affected communities); conduct experiments with participants to collect data on decision-making during simulated bushfire events; and develop statistical models
-
History, Engineering, Environmental Protection, Fine Arts, Genomics, Geophysics, Indigenous Affairs, Mathematics, Population Health, Public Policy, Statistics, Sustainability, Unmanned Aircraft Systems, and
-
, industry partner, and supervisor to discuss progress and receive guidance. Analyse experimental data using appropriate statistical methods and interpret the results. Contribute to the writing of scientific