704 machine learning positions in Australia

CSIRO Postdoctoral Fellowship in Machine Learning for Quantum Chemistry

system. In this position you will contribute to developing classical and quantum machine learning algorithms for molecular design software. Original research in related topics will also be supported. Your

Postdoctoral Research Fellow/Research Fellow – Machine Learning

commitments, while optimising their work performance and contributions to the University. See how we lead in flexible work to enable an outcome focused and inclusive workplace. To learn more about our culture

Measures of Simplicity in Optimisation-based Machine Learning

as a consequence of other desiderata. In the context of machine learning, many approaches propose to learn simple models since judicious simplicity can lead to good predictions [3,1]. These approaches

Thrive: Next Generation Grads – PhD – Stat. Machine Learning and Data Sci.

Overview Join us to make a difference! A highly competitive scholarship to develop new statistical machine learning and data-driven methods to battle social disadvantage in NSW. You will work with

Thrive: Next Generation Grads – MRes – Stat. Machine Learning and Data Sci.

Overview Join us to make a difference! A highly competitive scholarship to develop new machine learning, statistics and data-driven methods to battle social disadvantage in NSW. You will work with

Grant Funded Researcher (B)-Machine Learning Driven Science

candidate. Be part of the Australian Institute for Machine Learning – the largest computer vision and machine learning research group in Australia – and contribute to world-leading research projects

Machine learning based kinetic modeling on the thermal decomposition of plastic waste via pyrolysis

Computer Science and/or Chemical Engineering or equivalent; 2) Excellent mathematical and programming skills, in particular in the areas of Artificial Intelligence (AI) and machine learning including deep learning

PhD scholarship in ‘Structures and Materials': Defect Analysis and Fatigue Life Prediction in Additively Manufactured Alloys using Machine Learning

To address this limitation, this project aims to develop an innovative fatigue damage model that incorporates detailed defect characteristics using machine learning and multiscale modeling. High

Medical AI Exploration with Machine Learning and Robotics

. Scientific Contribution Our group has strong publication record of 100+ first or senior author top-tier (ERA ranking A*/A) journals and technical conferences in the machine learning and medical AI field. His

Adversarial Machine Learning for Structured Data

Adversarial Machine Learning (AML) is a technique to fool a machine learning model through malicious input. Due to its significance in many scenarios, including security, privacy, and health