Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- The University of Queensland
- Monash University
- University of Sydney
- University of New South Wales
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- University of Melbourne
- Curtin University
- Macquarie University
- RMIT University
- UNIVERSITY OF SYDNEY
- ADELAIDE UNIVERSITY
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Deakin University
- La Trobe University
- Flinders University
- RMIT UNIVERSITY
- CSIRO
- James Cook University
- The University of Western Australia
- UNIVERSITY OF CANBERRA
- UNIVERSITY OF MELBOURNE
- CHARLES STURT UNIVERSITY
- Charles Sturt University
- FLINDERS UNIVERSITY
- Fellowship Fund for Women postgraduate
- MONASH UNIVERSITY
- UNIVERSITY OF WESTERN AUSTRALIA
- University of New England
- University of Southern Queensland
- University of Tasmania
- 20 more »
- « less
-
Field
-
AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 20 days ago
disadvantage on educational outcomes. This role will have a particular focus on leading statistical analysis of large population linked data. The Postdoctoral Fellow is expected to contribute towards
-
, information systems or a related field. A strong track record of high-quality research publications and demonstrated research impact. Experience securing, leading or contributing to externally funded research
-
Research Fellow – Data Scientist Job No.: 694566 Location: 553 St Kilda Road Employment Type: Part-time, fraction (0.8) - Full-time (1.0) negotiable Duration: 12 month fixed-term appointment
-
of Sydney and is close to other research centres, teaching hospitals, transport, shopping, and beaches. For further information about the school please visit www.psychology.unsw.edu.au The Postdoctoral Fellow
-
, you will have as a minimum: A PhD, or evidence of imminent PhD completion, in quantum information, physics, mathematics, computer science, or a closely related discipline. Demonstrated research
-
bioinformatics research focused on cancer epigenomics, gene expression, single-cell and spatial omics, and metabolomic data analysis. Develop computational tools, apply AI and machine learning approaches
-
colleagues and research operations, and build partnerships with industry, government and community stakeholders. This is a research focused position. Further information can be found by viewing UQ’s Criteria
-
data-driven modelling methods for renewable energy integration. Research Outputs and Funding: Publish high-quality research outcomes, contribute to milestone reports, collaborate on competitive research
-
of Honours and Higher Degree by Research students, providing guidance in experimental design, laboratory techniques and data interpretation, while helping to foster a collaborative and safe laboratory
-
. Current research directions include AI- and data-driven discovery of multielement catalysts, amorphous catalyst structure-activity relationships, water and seawater electrolysis, and integrated solar