Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
the digital marketing program in support of the University’s brand and acquisition marketing objectives, this position is a enabler of success. The role leads a team of specialists across analytics, audience
-
for extended periods (up to two weeks), and willingness to help others achieve program objectives. Experience supervising and providing on-ground training to field staff on ecological survey techniques
-
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
-
science, machine learning, advanced computational design, and wearable technologies. To be successful you will need: Completion of a PhD in electrical, software, optical, biomedical engineering or physics
-
Job no:516893 Work type:Fixed term - Full-time Campus:Adelaide Categories:Level B, Level C, Faculty of Sciences, Engineering and Technology (Level B or C) $111,031 - $155,696 per annum plus an employer contribution of 17% superannuation. 24 Months Fixed-term contract | Part-time or Full-time...
-
the benefits of tertiary education and wanted to help students financially. The scholarships support undergraduate students undertaking a program of study in the Elder Conservatorium of Music at the University
-
The Ian Wilson Liberal Foundation Research Supplementary Scholarship is available to postgraduate research students who are currently undertaking an HDR program at the University of Adelaide, and
-
interest (surgery, ECC, IM, or GP). Demonstrates a professional attitude when working with clients and other staff members Basic computer knowledge of Microsoft Office and Cornerstone would be an advantage
-
of Adelaide. The unit works closely with student representatives and is responsible for orientation, program advice, academic progress and initiatives that support student retention and completion. The Student
-
. This project will use state of the art MRI sequences to characterise the morphology and composition of human joints for a cohort of people enrolled in a social running program, and subsequently phenotype