Sort by
Refine Your Search
-
Program
-
Employer
- Monash University
- RMIT University
- The University of Queensland
- University of Adelaide
- CSIRO
- Queensland University of Technology
- RMIT UNIVERSITY
- University of Sydney
- ;
- Australian Catholic University
- Australian National University
- LA TROBE UNIVERSITY
- La Trobe University
- Nature Careers
- QUEENSLAND UNIVERSITY OF TECHNOLOGY (QUT)
- University of South Australia
- 6 more »
- « less
-
Field
-
media; the development and application of numerical methods of image and signal analysis The ability to work well with people both in academia and Industry The ability to plan and manage own research
-
at the top of this page. Please indicate in your cover letter for which position you are applying for. For further information about this position, please see the Position Description hyperlinked below
-
% teaching / 10% service), with the possibility of additional research time in year 3. Beyond that point, in the absence of other considerations such as external funding, a standard workload mix will apply in
-
% teaching / 10% service), with the possibility of additional research time in year 3. Beyond that point, in the absence of other considerations such as external funding, a standard workload mix will apply in
-
the subject line. Want to Apply? We welcome applications from all individuals and are committed to an inclusive and accessible recruitment process. To be considered, please ensure you upload: Resume Cover
-
on the 'Apply' link below In your cover letter, please: Indicate whether you are applying for the Research Assistant or Research Fellow role Confirm your availability for part-time or full-time work For further
-
on the ‘Apply’ link below. In your cover letter, please: Indicate whether you are applying for the Research Assistant or Research Fellow role Confirm your availability for part-time or full-time work For further
-
collaboration between industry, government, and academia. The Australian Institute for Machine Learning (AIML) at the University of Adelaide is the largest computer vision and machine learning research group in
-
microcombs that reach down to the atomic transition wavelengths for the direct readout of the clock signal. Characterising the optical clock when using the above mentioned and demonstrated narrow linewidth
-
and to produce high quality outputs. To be successful in this position, you will have: Evidence of substantial experience in point-of-care diagnostics, specifically in the area of developing highly