234 structural-engineering "https:" "https:" "https:" "https:" "https:" "https:" "Dip" positions at Monash University in Australia
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
based on available funding. Selection criteria Based on academic achievement. How to apply Can be deferred if the Industry partner agrees. Further information is available on the Engineering Co-operative
-
humanitarian visa holder You must meet the following criteria: Commencing student, enrolled in or intending to enrol in a Science-Law, Law-Business or Engineering-Law undergraduate double degree at a Monash
-
learning experience. Drive innovation: Create engaging, fit-for-purpose learning resources that blend pedagogy with technology. Support excellence: Partner with senior academics to uphold quality standards
-
area Software Engineering The objective of this project is to design automated approach to detect bugs in various software, e.g., compilers, data libraries and so on. The project may involve LLMs
-
Skip to main content Main Menu - Primary Home Projects Supervisors Expression of Interest Contact Testing AI/LLM systems Primary supervisor Yongqiang Tian Research area Software Engineering In
-
partnership with government, industry, not-for-profit organisations and communities, bringing together expertise across transport and urban planning, public health, engineering, data science, behaviour change
-
within complex or matrix organisational structures, along with strong expertise in policy interpretation and implementation. You will demonstrate advanced planning and resource management capabilities
-
in the Faculty of Engineering at a Monash campus in Australia. Demonstrating leadership through community and industry engagement. From one or more of Monash University's defined educational
-
Michael John Smith Scholarship Achieving Potential Support Scholarship The Michael John Smith Scholarship has been established to provide support for commencing female Faculty of Engineering
-
, augmented virtual reality, voice assistance, and medical diagnosis. This new paradigm is further accelerated by AI chips and ASICs embedded on mobile devices, e.g., Apple’s Bionic neural engine. Compared