182 postdoctoral-image-processing-in-computer-science positions at University of Adelaide
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, Health Sciences, Nursing, or a related field. Strong communication and computer skills (e.g. MS Office, Redcap, data management/analysis programs and other electronic communications). Experience working
-
. The faculty is responsible for teaching and research across wide range of disciplines including Engineering, Computer and Mathematical Sciences, Architecture, Biology, Physics, Chemistry and Earth Sciences
-
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
-
research unit or comparable environment Ability to provide advice and support to post graduate students Computer literacy including skills in data management, analysis and presentation. Excellent written and
-
between project workstreams—agronomy, modelling and economics. The successful candidate will undertake both desktop and field activities. Key activities include: Data management, processing, analysis and
-
Job no:517202 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
-
the School of Computer and Mathematical Sciences. The successful candidate will be an outstanding researcher in pure mathematics with strong plans for future research and broad experience in teaching and
-
the following skills and qualifications (tailored to the specific project): Driven individuals who want to be a part of a world class team Some familiarity in healthcare or engineering/image based analysis
-
and technology. Engaging in solving a real-world problem requires a real solution to enhance housing resilience. Applying research skills to optimise and innovate AI-driven solutions for the housing
-
of business units and the acquisition, preparation and development of data for analytical use cases. To be successful you will need: Demonstrated experience in data manipulation and preparation process and