20 computer-science-programming-languages-"St"-"St" Fellowship positions at University of Adelaide
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Job no:517136 Work type:Fixed term - Full-time Campus:Adelaide Categories:Level A, Faculty of Sciences, Engineering and Technology (Level A) $81,293 - $109,307 per annum plus an employer
-
professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities. Learn more at: adelaide.edu.au/jobs Your faculty's broader role The Faculty of Sciences
-
Job no:517049 Work type:Fixed term - Full-time Campus:Adelaide Categories:Level A, Faculty of Sciences, Engineering and Technology (Level A) $81,293 - $109,307 per annum plus an employer
-
, with a focus on elucidating interfacial components and reaction mechanisms at the fundamental level. Potential to lead a research program in fundamental and/or applied areas addressing current battery
-
Wildlife Crime Research Hub as part of the ARC Industry Laureate Fellowship program, Combatting Wildlife Crime and Preventing Environmental Harm at one of Australia’s leading research institutions
-
Educational Technology in the School of Computer and Mathematical Sciences. The successful candidate will be a researcher in the use of technology to support cognitive and meta-cognitive skills of students
-
This PhD scholarship is funded by an Australian Research Council Industry Fellowship grant. It is a 3.5-year research training program. The ARC Industry Fellowship program aims to develop a strong
-
foundational AI research in Australia, focusing on areas such as natural language processing, computer vision, and machine learning. This role offers the opportunity to carry out cutting-edge research
-
peer-reviewed literature An interest in global change ecology, macroecology, biogeography, or conservation biology Strong computational and analytical programming skills A good knowledge of advanced
-
, Engineering or other Machine Learning-related field. Programming experience in MATLAB, Python, C++ or other relevant language and experience in deep neural networks. Experience and demonstratable knowledge in