Sort by
Refine Your Search
-
Listed
-
Field
- Computer Science
- Medical Sciences
- Economics
- Engineering
- Business
- Science
- Humanities
- Linguistics
- Materials Science
- Biology
- Mathematics
- Arts and Literature
- Law
- Philosophy
- Education
- Sports and Recreation
- Earth Sciences
- Design
- Psychology
- Chemistry
- Electrical Engineering
- Environment
- Social Sciences
- 13 more »
- « less
-
imaging centres in Australia, hosting many cutting-edge imaging equipment for biomedical imaging research. The Department of Data Science and AI, Faculty of IT is home to many world class research programs
-
. This is a very broad topic that allows the student to choose a scope (e.g. the nature of the technology, participant demographics, visualisation) of interest to them.
-
background mathematical knowledge, including differential calculus (e.g., partial derivatives) and matrix determinants. The student should also know how to program with either Matlab, Java, or Python. Ideally
-
on my academic and professional goals, further solidifying my commitment to advancing pharmaceutical science. Am I eligible? You must be one of the following: An International student You must meet the
-
the Faculty of Medicine, Nursing and Health Sciences, to access a Monash education Applications Not offered in 2025 Total scholarship value Up to $30,000 Number offered One at any time See details Madeline May
-
(Year 5/D) of the Clayton BMedSc/MD degree (M6011 or M6018) in the Faculty of Medicine, Nursing and Health Sciences as a Monash Campus in Australia. You must have completed BMedSc(Hons) M3701 and achieved
-
Although deep learning has produces state of the art results on many problems, it is a data hungry technology requiring a lot of human supervision in the form of annotated data. Potential PhD topic
-
student enrolled or intending to enrol full-time in a single or double Bachelor of Computer Science or Bachelor of Information Technology degree at a Monash campus in Australia. From one or more of Monash
-
an experienced technical officer or laboratory specialist with: A science or biomedical degree, or equivalent training and experience Hands-on experience with flow cytometry equipment – ideally both analysers and
-
Performance Computing platform (MASSIVE) to do the experiments.