23 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"NOVA.id" positions at University of Adelaide
Sort by
Refine Your Search
-
qualitative and/or quantitative data analysis. Exposure to policy and program development in an Aboriginal community-controlled organisation. Contribution to real-world projects with measurable community impact
-
addition to debits, credits can be obtained. The research performed under this internship by an Electrical/Power Engineering or Computer Science PhD student will relate to this reform, specifically investigation
-
: Prof David Lewis and A/Prof Phil van Eyk School of Chemical Engineering School of Chemical Engineering Email: david.lewis@adelaide.edu.au ; philip.vaneyk@adelaide.edu.au Applying: Expression of
-
opportunity to contribute to cutting-edge research that has a real-world impact on the agricultural sector. The Analytics for the Australian Grain Industry (AAGI) Scholarship Program (AU node) is funded by
-
and operational challenges Desired Skills and Attributes Current PhD enrolment in a relevant field (chemical engineering, nanomedicine, biotechnology, or related discipline) Within the first 18 months
-
, gym and other fitness facilities. Learn more at: adelaide.edu.au/jobs Your faculty's broader role The Faculty of Sciences, Engineering and Technology is a multidisciplinary hub of cutting-edge teaching
-
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
-
inter-disciplinary research in biology, engineering and physics aspects of quantum technologies. Projects will include the development of quantum light sources, quantum detectors and sensing with
-
Technology students. This position will be primarily located at the picturesque Roseworthy campus of the University of Adelaide. The position will suit an Australian Fellow or American/European Boarded
-
the Research Internship Agreement. Candidate Profile This internship is suited to HDR candidates in medicine, psychology, allied health, or clinical informatics with strong quantitative skills and an interest in