Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
using Machine Learning who has: strong experience in signal processing, machine learning or a related field a PhD (or near completion) in signal processing, machine learning or a related field experience
-
completion) in the area of statistics, computer science, operations research or a closely related discipline, with expertise in artificial intelligence, machine learning, data science, or computational methods
-
are particularly interested in: machine learning for molecular and omics data, including representation learning for biological sequences and structures, and the integration of multiple omics layers machine learning
-
Lecturer in Finance who has: a PhD in Finance, Financial Economics, or a closely related discipline, with expertise in artificial intelligence, machine learning, data science, or computational methods
-
on future long autonomous navigation techniques. About you a PhD in a relevant field or near completion extensive knowledge of robotic navigation, machine learning or other relevant fields experience working
-
: experience working with spatial omics or spatially resolved data in tissue experience applying AI or machine learning methods to digital pathology or histology data experience analysing kidney or transplant
-
advances in machine learning and real-time control fabricate robust instrumentation or photonic components for use at 8m-class and future ELT-class observatories perform lead roles instrument development
-
opportunity Are you excited by the opportunity to apply machine learning techniques to discover new solutions to human health? Early detection and treatment can prevent the progression of coronary artery
-
and Mechatronic Engineering School of Computer Science School of Electrical and Computer Engineering All positions are full-time continuing (tenure-track), teaching and research roles based in Sydney