Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- The University of Queensland
- Monash University
- RMIT University
- University of New South Wales
- Deakin University
- Curtin University
- University of Sydney
- CSIRO
- Macquarie University
- Swinburne University of Technology
- Central Queensland University
- University of Adelaide
- Queensland University of Technology
- AI & Cyber Futures Institute - Charles Sturt University
- Edith Cowan University
- Nature Careers
- University of New England
- University of Southern Queensland
- University of Tasmania
- Victoria University
- 10 more »
- « less
-
Field
-
methodologies and experience in participating in storyboarding, estimation, and using project management tools Knowledge of technical products like Terraform, Databricks, Snowflake, MS Azure, AWS Cloud, and
-
as assigned by the project lead Key Selection Criteria A bachelor’s or master’s degree in information technology, computer science, software engineering, or a related field. Strong proficiency in web
-
leave, and a condensed fortnight Health and wellness discounts – fitness passport access, free yearly flu vaccinations, discounted health insurance, and access to our Employee Assistance Program for staff
-
. Understanding of or curiosity about machine learning, AI, or cloud computing tools used in agricultural analytics. Interest or experience in working with industry, government, or multidisciplinary research teams
-
across multiple cloud platforms, with a strong record of leading and completing projects Strong experience with Mulesoft Anypoint Platform development and support. Experience with DevOps practices such as
-
goals Please upload your video to cloud based storage and provide a link in an MS Word or PDF document. The video must be downloadable by anyone - provide any passwords if necessary. Applicants
-
biodiversity and sustainability research. The initial objective is to use deep learning techniques to perform acoustic species identification in real-time on low-cost sensing devices coupled to cloud-based
-
intelligent techniques for scheduling and offloading tasks to the cloud and peer vehicles. This will ultimately meet the Quality of Service (QoS) requirements of time-critical road safety applications and
-
-resistant cryptography Secure computation protocols and their applications (e.g. to private outsourced cloud computation)
-
. "Studying the origin of the new discovered class of weak CN stars in the Magellanic Clouds using stellar variability" "How do stars merge? Studying the merger between low and intermediate-mass main-sequence