Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Business
- Materials Science
- Science
- Education
- Law
- Humanities
- Linguistics
- Mathematics
- Philosophy
- Biology
- Arts and Literature
- Environment
- Psychology
- Sports and Recreation
- Design
- Earth Sciences
- Electrical Engineering
- Social Sciences
- 12 more »
- « less
-
cooperating with each other, but in many cases competing for individual gains. This structure may not always work for the benefit of science. The purpose of this project is to use game theory and computational
-
. "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
-
Centre for Health Economics, Monash Business School, Integrated PhD Program 2026 Fully Funded 4.5-Year PhD in Health Economics - Monash University (Melbourne, Australia) Job no.: 625101 Location
-
theoretical colleagues. All research takes place within our dynamic particle physics research group with academics and postdocs, as well as graduate and undergraduate students. Some work will be purely
-
analysis, or multi-omics integration, with strong competence in deep learning frameworks (e.g., PyTorch/TensorFlow) and data engineering for reproducible research. Familiarity with cloud/HPC workflows
-
Centre for Health Economics, Monash Business School, PhD Program 2026 Job no.: 625101 Location: Caulfield campus Duration: 4.5-year fixed-term appointment Employment type: Full-time Remuneration
-
passionate about building software that drives positive outcomes? As a Research Software Engineer at the Environmental Informatics Hub, you will play a central role in designing, building, and maintaining
-
known as Team COMPAS -- includes a number of amazing undergraduate and graduate students, postdocs, alumni, and other fantastic collaborators. Please contact me if you are interested in joining our group
-
. Enquiries: Justin Robins, Group Manager Server Cloud and Compute Platforms, Justin.Robins@monash.edu Position Description: Manager - Server & Virtualisation Operations Applications Close: Sunday 11th January
-
to cloud-based machine learning services, on-device ML is privacy-friendly, of low latency, and can work offline. User data will remain at the mobile device for ML inference. Problems: In order to enable