Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- The University of Queensland
- UNIVERSITY OF WESTERN AUSTRALIA
- University of Sydney
- Curtin University
- Macquarie University
- Monash University
- Flinders University
- The University of Western Australia
- FLINDERS UNIVERSITY
- University of Adelaide
- University of New South Wales
- CSIRO
- LA TROBE UNIVERSITY
- La Trobe University
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- RMIT University
- UNIVERSITY OF SYDNEY
- University of Tasmania
- CURTIN UNIVERSITY
- UNIVERSITY OF MELBOURNE
- 10 more »
- « less
-
Field
-
. For further information about this position, please see the Position Description hyperlinked below or contact Dr. Huan Vo-Tran via email huan.vo-tran@rmit.edu.au . Position Description Please note, if you are
-
. You will develop sensitive methods with excellent quality control, be able to interpret high-resolution mass spectrometry data, conduct MS/MS experiments, and quantify or semi-quantify analytes in
-
qualifications in related fields (e.g., neuroscience) experience in quantitative methods relevant to immune science experience in clinical research with strong data analytic skills with an interest in training in
-
analytical chemistry, particularly GC-MS analysis of trace volatiles Good communication and problem-solving skills Knowledge in data analytics (python or R) is desirable Knowledge in atmospheric chemistry is
-
publications, conference papers and/or reports sound analytical skills with an ability to communicate complex information familiarity in the use of R (or other relevant language) for ecological modelling
-
qualifications or research experience a record of publications, conference papers and/or reports sound analytical skills with an ability to communicate complex information familiarity in the use of R (or other
-
, the postdoctoral fellow will: Develop scientific methods: new assays or models for measuring immunity, metabolic traits, pathogen load, or stress tolerance Collect data: curated datasets, protocols, analytical
-
familiarity with multi-omics data integration and AI-based analytical tools. Strong written and verbal communication skills, with a record of peer-reviewed publications and a collaborative track record in
-
Research Fellow in Temporal Analytics Job No.: 685774 Location: Clayton campus Employment Type: Full-time Duration: 5-year fixed-term appointment (until 5 October 2030) Remuneration: $118,974
-
the most challenging real-world problems surrounding practical application of personalised AI technologies. We are looking for academic rigour and top-quality outputs, with strong analytical skills