Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Sydney
- UNIVERSITY OF SYDNEY
- The University of Queensland
- Monash University
- Queensland University of Technology
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Deakin University
- University of Lund
- Adelaide University
- Charles Sturt University
- Earth Sciences
- The University of Auckland
- University of Stirling
- 3 more »
- « less
-
Field
-
researcher and primary point of contact for the project designing, collecting, and analysing data using appropriate computational, experimental, or corpus‑based methods preparing manuscripts and
-
microkinetic modelling (such as CatMAP or custom Python implementations) experience with constant-potential simulations, explicit-solvent methods, ab initio molecular dynamics or electrochemical-interface
-
complementary characterisation techniques such as TEM, SEM, EBSD and XRD, and the analysis of complex materials datasets · proficiency in quantitative analysis, computational methods and
-
skills in metagenomics analysis Experience in applying AI-based analytical methods to research data. Proficiency in the use of R, REDCap, and Stata (desirable) for data management, statistical analysis
-
prevention and health promotion methods, but also a passion for research, community engagement, and collaborative problem-solving. Experience in, and a thorough understanding of, government and policy
-
AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 5 days ago
its evolving role as the ‘World Court’, using cutting-edge empirical and sociolegal research methods. Undertake rich, interdisciplinary research spanning archival research, qualitative interviews and
-
Queensland Alliance for Agriculture and Food Innovation, you will develop and apply advanced quantitative genetics methods to improve genomic prediction of complex traits in soybean. As part of the UQ-led
-
identification, and data-driven modelling methods for renewable energy integration. Research Outputs and Funding: Publish high-quality research outcomes, contribute to milestone reports, collaborate on
-
, Immunology, or a related discipline. Demonstrated expertise in bioinformatics, statistical analysis, and computational methods for analysing complex biological datasets. Experience with single-cell
-
statistics, data science, biology, and clinical and translational research maintain clear and comprehensive documentation of methods, data analyses, and findings for future reference and knowledge sharing