392 computer-programmer-"Multiple"-"O.P"-"U"-"Humboldt-Stiftung-Foundation"-"U.S" positions at Monash University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
well as to other things to promote my leadership skills, such as through the Access Monash mentoring program. This opportunity has only helped encourage my passion to learn, and become a better leader. Am I eligible
-
goals. Am I eligible? You must meet the following criteria: be currently enrolled in a research masters or doctoral program as an internal/on-campus student at one of Monash University’s Australian
-
fundamental research questions that are in the core of overcoming the optimiser’s curse will be studied. Namely: 1. How can we robustly plan with respect to the predictions errors (i.e., interpolation and
-
of Computer Science in Data Science (Honours) Anban Raj Thank you will never suffice to express my gratitude to the Ng Family for believing in my potential and enabling me to access a world-class education. I will
-
In recent years, the rise in cybercrimes has significantly increased the vulnerability of the open internet to various threats and cyber-attacks. Among these, phishing stands out as one of the most perilous crimes worldwide. In a phishing attack, perpetrators create fraudulent websites that...
-
This project focuses on developing algorithms capable of automatically identifying and categorizing mobile ringtones. This involves leveraging machine learning techniques to analyze audio signals from mobile devices and classify them into different categories or types of ringtones. The...
-
aims to explore who takes physics and astrophysics major units, why they pursue them, and what obstacles they may face. There are a number of research questions under this umbrella. Computational
-
that occurs within these biological neural networks, so that these networks can be leveraged for AI applications. In addition, you will develop mathematical and computational neuroscience models
-
. 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
-
part of the Books for the Vision Impaired and the GraVVITAS frameworks (www.monash.edu/it/inclusive-tech ). The project will employ computer vision, image processing and human computer interaction