Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
- Computer Science
- Medical Sciences
- Economics
- Business
- Arts and Literature
- Engineering
- Education
- Law
- Science
- Materials Science
- Biology
- Environment
- Linguistics
- Psychology
- Sports and Recreation
- Chemistry
- Humanities
- Mathematics
- Philosophy
- Design
- Earth Sciences
- Electrical Engineering
- Social Sciences
- 13 more »
- « less
-
this work we will use Theory of Mind (ToM) to reason about the mental models of the actors involved in AI systems, designers, agents and users and expand on the "Model Reconciliation Problem" or reconciling
-
to build the requisite knowledge and skills required to adequately interact with a user. These models will allow social robots to recognise, understand, and predict a user’s behaviour, reason about how the
-
education offerings that appeal to the students of tomorrow, and engagement with industry and government that leverages the department’s strengths to have an impact, solving many of the most pressing problems
-
). The reason for this is that the candidate will need to be trained in theories about humans and experimental methods. Meet H1E requirements for Monash FIT PhD entry.
-
publications and conference presentations, and provide supervision and guidance to research students. About You You will hold a doctoral qualification in biochemistry, molecular biology or a closely related
-
knowledge in technical or administrative fields; or an equivalent combination of relevant experience and/or education/training. About Monash University At Monash , work feels different. There’s a sense of
-
The Opportunity Join the newly-established Academic Node within the Centre for Drug Candidate Optimisation (CDCO), where you will contribute to innovative work addressing some of the most complex challenges in
-
excellence, process integrity and continuous improvement across professional education activities. About the Role The Professional Education Officer supports the effective delivery of professional education
-
-model fusion”. The successful candidate will develop near-real-time integration between emerging environmental and ecological AI-driven data sources (e.g., automated acoustic and machine vision species
-
information that is encoded in the x-ray wavefield as it passes through the sample. My research aims to tap into the wavefield phase to reveal weakly-attenuating objects like the lungs that are almost invisible