382 parallel-and-distributed-computing-"Meta"-"Meta"-"Meta" positions at Monash University in Australia
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Join Monash University’s cutting‑edge mathematical research in the Faculty of Science as a Research Fellow and contribute to computational and theoretical aspects of Dynamical Systems. This position will
-
of innovative computational procedures and methodologies, addressing a national skills shortage and enabling timely progress on a high-impact research initiative in modern econometric modelling. The role provides
-
manage multiple priorities effectively, while your computer literacy and experience with financial systems, especially SAP, will support your technical performance. A sound understanding of GST in a
-
. The latest advanced techniques in machine learning and computer vision for image content analysis will be applied to generate data for dynamic species distribution models. This data will in turn be used
-
quantification This is a unique opportunity to contribute to an internationally recognised research program and shape the future of materials modelling and mechanical engineering. You’ll be part of a supportive
-
that bring the transformative work of the Revitalising Informal Settlements and their Environments (RISE) program to life — across Australia, Indonesia and Fiji. In this dynamic and influential role, you’ll
-
Head of Operations - Artificial Heart Frontiers Program Job No.: 680632 Location: Monash University Alfred Campus Employment Type: Full-time Duration: Fixed-term appointment until 30/06/2028
-
for drug discovery. Publishing peer-reviewed research and contributing to industrial software tools. About You To be successful in this role, you will have: A PhD in machine learning, computer
-
physicist with an outstanding research record in one or more areas of theoretical quantum science, including: Quantum computing Quantum information Quantum communication Quantum sensing Quantum optics Quantum
-
, from swarm robotics to mesh networks. The prototypical model system for the investigation of self-organised task allocation are social insect colonies, such as bees and ants. They are able to distribute