538 embedded-system "https:" "https:" "https:" "https:" "UCL" uni jobs at Monash University
Sort by
Refine Your Search
-
Listed
-
Field
-
accurately and on time. The position also oversees resources, stakeholder engagement and team coordination, while providing strategic advice and strengthening program systems and processes. We are seeking
-
responsible for end-to-end program planning, coordination and delivery, ensuring training is implemented to agreed quality standards and contractual requirements. Acting as a key liaison between the MIRRA
-
University as our next Media and Communications Adviser and play a leading role in shaping and amplifying the University’s global narrative. This is a unique opportunity to position one of the world’s leading
-
University is committed to increasing university participation of students from communities under-represented in higher education. As part of this mission, we are seeking an experienced and dynamic Senior
-
Monash Indigenous Research Award Monash Indigenous Research Awards (MIRA) is part of a support package provided by Monash University to support Indigenous Australian students undertaking Research
-
The primary objective of this project is to enhance Large Language Models (LLMs) by incorporating software knowledge documentation. Our approach involves utilizing existing LLMs and refining them
-
The Opportunity The Monash Research Office is seeking an experienced research administration specialist to join our team as a Senior Awards Officer in the post-awards service area. We are looking for a strategic
-
contributions, lived experience and expertise. That’s why we champion an inclusive and respectful workplace culture where everyone is supported to succeed. Learn more about Monash . Be part of our story. Work
-
to the Executive Director, Marketing, the Director, Product Marketing provides strategic leadership for the University’s product marketing portfolio, including Monash College Pathways. This role is accountable
-
answering take a neural-symbolic approach and combine meta-learning and reinforcement learning techniques [1,2,3]. On the other hand, the generation of complex questions, the dual problem, is less explored