18 machine-learning-"https:"-"https:"-"https:" "Computer Vision Center" Postdoctoral positions at University of Sydney
Sort by
Refine Your Search
-
frequency fingerprinting (RFF) systems using machine learning. The successful candidate will have significant experience in signal processing or machine learning, and an outstanding track record in
-
University of Sydney | 2 months ago
experimental procedures and analysis of data contribute to novel data analysis and/or instrument control code, leveraging advances in machine learning and real-time control fabricate robust instrumentation
-
who demonstrate the following will be highly regarded: experience working with spatial omics or spatially resolved data in tissue experience applying AI or machine learning methods to digital pathology
-
using Python, ASE and relevant DFT software analyse electrochemical free-energy landscapes and connect elementary-step energetics to catalytic performance apply machine-learning interatomic potentials and
-
control code, leveraging 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
-
degradation and bioreactor performance. apply machine learning and optimisation to guide experiments and improve fungal process performance. design and undertake laboratory experiments with biological and
-
Full‑time, 3-year fixed term opportunity with potential to extend Join the Snow Vision Accelerator to drive a new research and drug‑development initiative at the University of Sydney’s School of
-
programming, with experience in AI, machine learning or data-driven materials research highly desirable · a strong publication record, excellent communication skills, and the ability to work
-
, machine learning or other relevant fields experience working with marine robotic systems or the data they collect, including inertial, acoustic, visual and magnetometer data field experience deploying
-
within the classification level as required. About you a Doctorate or PhD in a relevant field and demonstrated experience in vision science research demonstrated understanding of the subject matter