20 phd-in-image-processing Fellowship research jobs at University of Adelaide in Australia
Sort by
Refine Your Search
-
, students and others worldwide. To be successful you will need: Completion of a PhD in a relevant discipline or have equivalent qualifications or research experience. Demonstrated ability to conduct
-
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
-
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
-
computer vision and machine learning research group in Australia -- and contribute to world-leading research projects at the CommBank Centre for Foundational AI This postdoctoral research position is part of
-
holds Bachelors’ degrees in English literature (with Honours) (1961), and musicology (with Honours) (1970) from The University of Adelaide, and a PhD from the same university (1979). Her work includes the
-
an impactful career in quantum technology within a world-leading research institution. To be successful at Level A you will need: A PhD in Quantum Physics, good knowledge in the Physics of Quantum devices
-
or nearly completed PhD graduate with experience in protein biochemistry to join the Herbicide and Antimicrobial Innovation Laboratory led by ARC Future Fellow Dr Tatiana Soares da Costa. Working
-
under farming systems including herbicide resistance and changes in emergence patterns. This role is ideal for a candidate with a PhD in Weed Science, Plant Genetics, or a related discipline, who is
-
technologies, with a specific focus on electrode/electrolyte interface studies for secondary batteries. The successful candidate will have recently completed, or be nearing completion of, a PhD in a relevant
-
PhD in Economics is a desirable criterion, we will consider candidates currently completing a PhD in Economics or a related field (such as Statistics or Applied Data Science) and who have a strong