Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Sydney
- The University of Queensland
- UNIVERSITY OF SYDNEY
- Monash University
- Macquarie University
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- CSIRO
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Adelaide University
- Deakin University
- Flinders University
- The University of Auckland
- University of Lund
- University of Stirling
- Australian Catholic University
- Charles Sturt University
- McGill University
- Murdoch University
- NHMRC Postgraduate Scholarships
- The University of Newcastle
- University of Central Lancashire
- University of North Carolina at Charlotte
- University of Wollongong
- 13 more »
- « less
-
Field
-
, Biostatistics, Computer Science, Health Informatics, or a closely related discipline. Demonstrated experience working with large, complex and longitudinal research datasets, including data cleaning
-
viewing UQ’s Criteria for Academic Performance . About You Completion or near completion of a PhD in Computer Science, Artificial Intelligence, Digital Media Forensics, Cybersecurity, Data Science, or a
-
seek to appoint a Postdoctoral Research Associate / Research Fellow in Multi-Omics Data Science to work in the Snow Vision Accelerator at the University of Sydney, with a strong focus towards
-
% superannuation About the opportunity We seek to appoint a Postdoctoral Research Associate / Research Fellow in Multi-Omics Data Science to work in the Snow Vision Accelerator at the University of Sydney
-
methods that will help unlock the full potential of spatial omics data Base Salary, Level A $113,634 - $125,896 p.a + 17% superannuation About the opportunity The School of Mathematics and Statistics is
-
, biostatistics, data science, computer science, bioinformatics or a closely related discipline strong programming skills in R or Python experience developing or applying methods to complex or large-scale
-
algorithms for large-scale data analytics and optimisation problems. The research will investigate how quantum computational techniques can be combined with classical systems to improve performance
-
algorithms for large-scale data analytics and optimisation problems. The research will investigate how quantum computational techniques can be combined with classical systems to improve performance
-
analysis, including using AI/computer vision tools Experience with R or Python for data analysis Experience designing and conducting laboratory-based animal behaviour studies Experience in writing papers
-
machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch or TensorFlow) Project funding Other Funding