Sort by
Refine Your Search
-
Category
-
Program
-
Employer
-
Field
-
into experiments, prototypes, and minimal viable products across various domains. You’ll need a strong engineering background with applied AI knowledge particularly in large language models (LLMs). Contribute
-
position is fulltime or part- time (0.7FTE) Based in Hobart, Fixed Term until June 2027. Please note that this is likely to extend beyond, subject to ongoing funding model. In return for your experience
-
. The Intelligent Systems activity cluster within the School focuses on the computational modelling and design of intelligent agents in complex real-world contexts. The research integrates areas of artificial
-
to establish an eLearning business model, collaborate with diverse stakeholders, and drive the creation of culturally appropriate, income-generating courses. This role offers you the chance to make a significant
-
education system and offers a distinctive model of education known collectively as the Melbourne Curriculum. The new educational model, designed for an outstanding experience for all students, is based on six
-
postgraduate research scholarship unless it was terminated within six months of the scholarship’s payments commencing Are or will to be enrolled and primarily based at an RMIT Australian campus. International
-
processing, cell tracking, fluid dynamics, mathematical biology, agent-based modelling. A demonstrated aptitude for research, with a sound publication record in relevant areas, commensurate with experience and
-
species' distributions. This project harnesses research in ecological and agent-based modelling, machine learning, and AI to increase the predictive power of models of species’ distribution shifts via “data
-
deceptions to be easily incorporated into evolutionary simulations. Agent-based modelling and information-theoretic models can be employed to explore how deceptions could have evolved in biological systems
-
Evolution. Please check our publications for more details: http://garciajulian.com [1] “Empirical Agent Based Models of Cooperation in Public Goods Games | Proceedings of the Fourteenth ACM Conference