Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Business
- Arts and Literature
- Law
- Linguistics
- Education
- Materials Science
- Science
- Biology
- Philosophy
- Mathematics
- Design
- Environment
- Chemistry
- Humanities
- Sports and Recreation
- Psychology
- Earth Sciences
- Electrical Engineering
- Social Sciences
- 13 more »
- « less
-
Machine learning, dynamical systems theory, control theory, signal processing, network theory, neuroscience are all relevant and a student should have strong knowledge in at least one of these and a
-
, decision-making processes, and even democratic institutions. Large language models (LLMs) have shown tremendous potential in natural language understanding and generation. This research aims to harness
-
partially observable Markov decision processes (POMDPs). Methods in Ecology and Evolution , 12 (11), 2058-2072.
-
. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
-
deferred. Every scholarship may have a different application process – or none at all. Read the application details carefully and submit your application by the deadline. For more details, visit our
-
scholarship may have a different application process – or none at all. Read the application details carefully and submit your application by the deadline. For more details, visit our scholarships application
-
at the time of applying to HEC; satisfy HEC selection criteria, apply to HEC for funding, and be shortlisted by HEC for a scholarship; meet Monash's competitive scholarship selection process requirements ; and
-
. This work combines computational modelling and simulation with biological experiments that are analysed using cutting-edge computer vision techniques. We collaborate closely with Macquarie University where
-
of all genders, sexualities, and age groups. We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr
-
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' for a confidential discussion. Your