Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Project Background and Motivation The "inverse design" of molecules from analytical spectra (such as MS2, NMR, or IR) is a fundamental bottleneck in analytical chemistry, metabolomics, and drug
-
Required knowledge Skills Focus proficiency in one programming language (e.g. Matlab, R, Python), machine learning / deep learning / data science skills, basic understanding of cell and development
-
● Electrical and Computer Systems Engineering ● Materials Science and Engineering ● Mechanical and Aerospace Engineering For further information, please follow the link for each Graduate Research Degree ● 3291
-
to examine vast amounts of textual data, identifying keywords, phrases, and sentiment that may indicate extremist views or intentions. Analysing audio involves techniques such as speech recognition, keyword
-
Current federated learning architectures in mobile healthcare are limited to a centralised model without considering the full continuum of mobile-edge-cloud. Additionally, to support different data
-
* at a Monash campus in Australia: Bachelor of Engineering (Aerospace Engineering) Bachelor of Engineering (Electrical and Computer Systems Engineering) Bachelor of Engineering (Materials Engineering
-
Medical Science Honours Scholarship Achieving Potential Scholarship for Distinction This scholarship is to support disadvantaged medical students to be able to intermit medicine to undertake
-
Empirical studies in Information Visualisation research have become more commonplace in the past two to three decades. While formerly the research focus was primarily on utilising the power of novel
-
Medicine, Nursing and Health Sciences Scholars Grant Achieving Potential Support Scholarship A grant for new or current students studying an undergraduate degree in the Faculty of Medicine, Nursing
-
Skip to main content Main Menu - Primary Home Projects Supervisors Contact Immersive Visualization of Protein Structures in Food Science Using VR/AR Primary supervisor Wai Peng Wong Research area