37 application-programming-android research jobs at University of Adelaide in Australia
Sort by
Refine Your Search
-
. This position is for a materials scientist to work on the design and developing of materials for energy storage applications. Work includes designing and synthesizing high-performance electrode materials and
-
and project coordination leadership to support the multiple programs of research, spanning partnerships with government and non-government agencies, foundations and academic collaborators, to enable
-
a focus on neurological disease and neuroimaging. To be successful you will need: A PhD in Computer Science, Engineering or other Machine Learning-related technical field. Programming experience in
-
government and industries in South Australia, and overseeing Centre performance. The appointee will also be supported to establish and build a dynamic research program in machine learning or artificial
-
, commensurate to opportunity. Demonstrated proficiency in Python, including data handling and backend development. Demonstrated experience developing applications interfacing with machine learning libraries like
-
. Enjoy an outstanding career environment We offer a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and
-
environment We offer a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community collaboration - offers you
-
, breadth and quality of our education and research programs - including significant industry, government and community collaboration - offers you vast scope and opportunity for a long, fulfilling career. It
-
. Applications close: 11:55pm (South Australia time), 19th October 2025. For further information For a confidential discussion regarding this position, contact: Dr Nisha Schwarz Program Manager, Centre
-
allow the team to develop lung function-based respiratory biomarkers through the application of artificial intelligence, machine learning and image processing technologies to lung ventilation data