147 post-doc-image-engineering-computer-vision positions at University of Adelaide in Australia
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, engineers and students. The group works on a variety of fundamental and commercially oriented research projects in computer vision and machine learning and has a very strong track record of publications in
-
Job no:517331 Work type:Fixed term - Full-time Campus:Adelaide Categories:Level A, Level B, Faculty of Sciences, Engineering and Technology (Level A/B ) $102,024 to $114,917 per annum plus
-
Job no:517147 Work type:Fixed term - Full-time Campus:Adelaide Categories:Faculty of Sciences, Engineering and Technology (Level B) $114,917 - $135,932 per annum plus an employer contribution of up
-
Mechanical Engineering (EME) Tel.: +61 (0)8 8313 8128 E-mail: maziar.arjomandi@adelaide.edu.au Applying: Expression of interest Expressions of interest should be submitted to Prof Maziar Arjomandi
-
student experience. At the heart of the student experience are transformational opportunities in learning and teaching. The overall vision and purpose of Education Transformation within DASE is to advance a
-
Job no:517205 Work type:Fixed term - Full-time Campus:Adelaide Categories:Technical, Laboratory and Research Support, HEO9, Faculty of Sciences, Engineering and Technology HEO9 ($132,705 – $141,974
-
PhD Opportunity – Advanced Microwave Sensor Design for Detection Technologies The School of Electrical and Mechanical Engineering at the University of Adelaide is seeking a highly motivated PhD
-
program Have already completed 24 units and have at least 12 units remaining in their Bachelor of Engineering program upon their return from travel Be an Australian Citizen or Permanent Resident
-
Job no:517260 Work type:Fixed term - Full-time Campus:Adelaide Categories:Level B, Faculty of Sciences, Engineering and Technology (Level A/B) $102,024 to $135,932 per annum plus an employer
-
engineering trade-based manufacturing and maintenance. Demonstrated high level of computer literacy, knowledge and hands-on experience in use of specialized engineering software for design and manufacturing