Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- The University of Queensland
- Macquarie University
- University of Sydney
- Curtin University
- University of New South Wales
- CSIRO
- Monash University
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Australian Academy of Science Research Funding
- Deakin University
- LA TROBE UNIVERSITY
- La Trobe University
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- QUEENSLAND UNIVERSITY OF TECHNOLOGY (QUT)
- UNIVERSITY OF THE SUNSHINE COAST - UNISC
- University of Tasmania
- 6 more »
- « less
-
Field
-
climate resilience. Working within a world-class research environment, you’ll combine your skills in plant and crop physiology, modelling, phenotyping, data science, and statistics to uncover insights
-
administrative health datasets, applying advanced epidemiological methods and statistical techniques track record in research communication, including conference presentations, media engagement and participation
-
is an inclusive community in scientific collaboration. Mathematics and statistics drive breakthroughs in technology and data science, while physics and astronomy seek to understand matter and the
-
experiments. Programming skills in R or another language for data analysis and strong knowledge of statistical approaches in plant or biological sciences. Track record of high-quality research outputs (peer
-
statistical analysis skills and the capacity to prepare manuscripts and research proposals along with an ability to contribute to high-quality research outcomes. We have two positions available at Level A and
-
is an inclusive community in scientific collaboration. Mathematics and statistics drive breakthroughs in technology and data science, while physics and astronomy seek to understand matter and the
-
of these publications and your part in these. Selection Criteria: Essential PHD in Computer Science, Informatics, Data Science, Statistics, or a closely related area. Substantial research experience in applied Artificial
-
women. Perform advanced statistical analysis of cohort studies and meta-analysis of published literature to achieve project outcomes specified in the project work plan. Prepare applications for data
-
prototyping, real-world testing, and publishing experimental results. Strong understanding of core mathematical foundations, including linear algebra, control theory, statistics, and probabilistic methods
-
of these publications and your part in these. Selection Criteria: Essential PhD in Computer Science, Informatics, Data Science, Statistics, or a closely related area. Substantial research experience in applied Artificial