Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Business
- Science
- Biology
- Linguistics
- Humanities
- Materials Science
- Arts and Literature
- Law
- Mathematics
- Psychology
- Education
- Philosophy
- Sports and Recreation
- Earth Sciences
- Chemistry
- Design
- Electrical Engineering
- Environment
- Social Sciences
- 13 more »
- « less
-
The detection of human activities is crucial for effective monitoring purposes. The challenge lies in accurately and promptly identifying various types of activities from videos and images captured in diverse, real-world environments. Both classical machine learning methods and deep learning...
-
their performance both empirically and through controlled user studies. Required knowledge Strong background in computer science in general Familiarity and understanding of basic principles underlying automated
-
explore unconventional ideas, develop computer algorithms for data analysis, create new experimental approaches, and apply the technique in areas like biomedicine, materials science, and geology. My group
-
checks required for the role, as determined by the University. Enquiries: Professor Janet Anderson, Professor of Human Factors, janet.anderson@monash.edu Position Description: Research Fellow - Level A
-
, Gholamreza Haffari Proceedings of the 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT), 2018. [2] Learning How
-
their skills and further their involvement in the broader local community. Total scholarship value Up to $18 000 Number offered Three at any one time See details Bachelor of Medical Science and Doctor
-
checks required for the role, as determined by the University. Enquiries: Sophie Vidinovski, Interim Executive Director, Marketing and Communications, +61 3 (9905 4967) Position Description: Senior
-
the Humanities, Arts and Social Sciences (HASS), is more critical than ever. HASS disciplines offer the tools to understand the human dimensions of environmental and climate change – our values, cultures, politics
-
. Leveraging techniques such as federated learning, differential privacy, and secure multiparty computation, the goal is to enable collaborative ML tasks without compromising the privacy of individual data
-
Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
to modulate protein translation. This project will use RNA cross-linking technology to understand all of the RNA-mediated control elements that contribute to the system of regulation that links metabolic needs