679 information-security "https:" "https:" "https:" "https:" "University of St" 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
- Education
- Linguistics
- Materials Science
- Biology
- Mathematics
- Philosophy
- Humanities
- Design
- Environment
- Psychology
- Chemistry
- Sports and Recreation
- Earth Sciences
- Electrical Engineering
- Social Sciences
- 13 more »
- « less
-
with a variety of Deep Learning frameworks, such as U-Net, ResNet, etc. One of the main challenges in medical image segmentation and classification is that the results must be explainable; hence
-
everyone's contributions, lived experience and expertise. That’s why we champion an inclusive and respectful workplace culture where everyone is supported to succeed. We have a range of policies in place
-
where everyone is supported to succeed. Some 20,000 staff work for Monash around the world. We have 95,000 students, four Australian campuses, and campuses in Malaysia and Indonesia. We also have a major
-
Estimation for Robust Single- and Multi-View Learning in CV and NLP Robust Active Learning Under Distribution Drift Data-Efficient Deep Learning for De Novo Molecular Design from Analytical Spectra Hybrid
-
David Shugg Professionalism Scholarship Industry Leaders Scholarship This Scholarship is to honour the important role that David Shugg played in the professionalism of paramedics. Throughout David’s
-
collaborative networks The Opportunity Monash University is seeking a Research Fellow to join the Department of Biochemistry and Molecular Biology within the Monash Biomedicine Discovery Institute at the Clayton
-
proficiency requirements This scholarship is also available to students undertaking Joint Research Awards when Monash University is the home institution. Benefits Scholarships provide a living allowance top up
-
Indigenous applicants are strongly encouraged to apply. Ideally the applicants will have an excellent academic track record and/or experience in IT or health IT. Knowledge and skills relating to any
-
. 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
-
potential to facilitate the process of generating health-related advice without the need for predefined rules or training data. Yet, their reliability remains a serious concern. This project aims to first