Sort by
Refine Your Search
-
Listed
-
Employer
- The University of Queensland
- Monash University
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- University of Sydney
- Macquarie University
- RMIT UNIVERSITY
- RMIT University
- Deakin University
- CSIRO
- University of Tasmania
- University of New South Wales
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- ADELAIDE UNIVERSITY
- Curtin University
- UNIVERSITY OF WESTERN AUSTRALIA
- Flinders University
- Nature Careers
- Australian National University
- CHARLES STURT UNIVERSITY
- FLINDERS UNIVERSITY
- Fellowship Fund for Women postgraduate
- LA TROBE UNIVERSITY
- The University of Western Australia
- UNIVERSITY OF MELBOURNE
- UNIVERSITY OF SYDNEY
- UNIVERSITY OF TASMANIA
- UNIVERSITY OF THE SUNSHINE COAST - UNISC
- 17 more »
- « less
-
Field
-
Analysis of Economic Impacts of Ultra-Processed Foods to lead quantitative research on the economic impacts of ultra-processed foods, managing and analyzing large, complex datasets to generate robust, policy
-
Research Fellow - Advanced Signal Processing and Machine Learning Techniques for Vital Signs Measurement from Video Images Job No.: 691722 Location: Clayton campus Employment Type: Full-time
-
Australian National University | Canberra, Australian Capital Territory | Australia | about 2 months ago
the document: https://jobs.anu.edu.au/cw/en/job/560642?lApplicationSubSourceID = Position overview The Mathematical Sciences Institute is seeking to appoint a postdoctoral researcher at Level A or B. This
-
modern high performance computation facilities and parallel computing clusters (CPU and GPU). Excellent publication record and demonstrated conference presentation skills. Demonstrated ability to operate
-
modern high performance computation facilities and parallel computing clusters (CPU and GPU). Excellent publication record and demonstrated conference presentation skills. Demonstrated ability to operate
-
rather than having a researcher building one strain at a time manually, the same researcher could build hundreds or thousands of strains in parallel using our robotic platforms. The Australian Genome
-
researcher could build hundreds or thousands of strains in parallel using our robotic platforms. The Australian Genome Foundry is capable of synthesizing complete eukaryotic chromosomes and consists
-
at a time manually, the same researcher could build hundreds or thousands of strains in parallel using our robotic platforms. The Australian Genome Foundry is capable of synthesizing complete eukaryotic
-
packages relevant to biostatistics and bioinformatics (e.g. R, Python, Fortran, Matlab, SAS, Stata or equivalent) and experience in the use of high-performance computer resources and parallel computation
-
Science and Artificial Intelligence, with a focus on visual reasoning and robotic systems. The Research Fellow position involves developing novel approaches that integrate computer vision, natural