674 computational-physics "https:" "https:" "https:" "https:" "IFM" positions at Monash University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Business
- Arts and Literature
- Law
- Science
- Materials Science
- Biology
- Education
- Linguistics
- Humanities
- Mathematics
- Philosophy
- Environment
- Psychology
- Chemistry
- Design
- Sports and Recreation
- Earth Sciences
- Electrical Engineering
- Social Sciences
- 13 more »
- « less
-
Authorised by: Marketing, Faculty of IT , Monash University . Maintained by: Marketing, Faculty of IT . Copyright © 2024 Monash University. ABN 12 377 614 012 Accessibility - Disclaimer and copyright - Privacy , Monash University CRICOS Provider Number: 00008C, Monash College CRICOS Provider...
-
and evaluate our approaches on a range of computational sustainability case studies from the domain of conservation of biodiversity, natural resource management and behavioural ecology. Relevant
-
excellence, process integrity and continuous improvement across professional education activities. About the Role The Professional Education Officer supports the effective delivery of professional education
-
This project aims to identify novel methods for inferring actors, activities, and other elements from short message communications. Covert communications are a specialist domain for analysis in the Law Enforcement (LE) context. In this project we aim to improve law enforcement’s understanding of...
-
We have several PhD, Research Assistant (RA) and master research thesis’s opportunities available in areas such as Multimodal Large Language Models (MLLM) for human understanding, MLLM safety, and Generative AI. If you have published in top-tier conferences (e.g., CVPR, ICCV, ECCV, NeurIPS,...
-
for Scalable Data Systems and Intelligent Analytics Unsupervised Music Emotion Tagging (Affective Computing) Authorised by: Marketing, Faculty of IT , Monash University . Maintained by: Marketing, Faculty of IT
-
to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu in an email titled 'Reasonable Adjustments Request
-
a conditional generative model that dynamically adapts to the confidence of the spectral representations. By quantifying predictive uncertainty, the framework will guide the generation process—firmly
-
cutting-edge AI methodologies, focusing on combining data-driven approaches with physics-informed models to tackle challenges in MRI reconstruction. By integrating MRI acquisition physics directly into
-
Minds , a leadership program for first year students. Number offered One scholarship available per year Selection criteria Based on academic achievement and need. Preference will be give for a student