-
nonautonomous dynamical systems, spectral analysis, machine learning, data-driven dynamics, stability/perturbation theory/rigorous numerics. Possible applications of the new theory include the analysis
-
in Deep Learning Theory who has: a PhD in mathematics, applied mathematics, data science, or a related area an excellent track record of publishing high-quality papers on deep learning theory, machine
-
looking for a Postdoctoral Research Associate in Deep Learning Theory who has: a PhD in mathematics, applied mathematics, data science, or a related area an excellent track record of publishing high-quality
-
partners and stakeholders use mechanistic modelling to spatialise crop yield predictions under a variety of data input scenarios use data-driven models and machine learning to better understand the spatio
-
Accuracy in Algorithmic Machine Learning"). Working closely with Dr. Clement Canonne and his team, the successful candidate will develop and analyse new differentially private algorithms for distributed
-
Machine Learning”). Working closely with Dr. Clement Canonne and his team, the successful candidate will develop and analyse new differentially private algorithms for distributed statistical inference, and
-
, workflow managers (e.g. NextFlow, SnakeMake, etc), statistical analysis and data visualization. Familiarity with data science and machine learning. Familiarity with cellular and molecular biology, such as
-
encouraged to apply, A PhD (or near completion) in a relevant field, Knowledge of computer vision technologies including approaches to visual 3D reconstruction, Knowledge of appearance-based scene
-
) at the University of Sydney. The ACFR is one of Australia’s leading robotics research groups, and the Robotic Imaging Lab is focused on endowing machines with new ways of seeing the world. We are expanding our team
-
collaborator with the aim to use machine learning/AI approaches in combination with commercial multispectral and hyperspectral remote sensing platforms to perform within-field mapping of weeds and disease in