Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of British Columbia
- Nanyang Technological University
- Northeastern University
- University of Cincinnati
- Australian National University
- NTNU - Norwegian University of Science and Technology
- Singapore Institute of Technology
- UiT The Arctic University of Norway
- University of Adelaide
- University of South-Eastern Norway
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Aalborg University
- AbbVie
- Carnegie Mellon University
- Central Michigan University
- Curtin University
- George Mason University
- James Madison University
- KINGS COLLEGE LONDON
- King's College London
- La Trobe University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- National Renewable Energy Laboratory NREL
- Nature Careers
- Stanford University
- The University of Queensland
- The University of Western Australia
- UNIVERSITY OF SOUTHAMPTON
- University of Inland Norway
- University of Kansas Medical Center
- University of Michigan
- University of Sheffield
- University of Stavanger
- University of Texas at Austin
- Western Norway University of Applied Sciences
- 25 more »
- « less
-
Field
-
requirements: PhD degree in Computer Science, Electrical and Electronic Engineering, or related field. At least 3 years of relevant experience in computer vision, artificial intelligence, etc. Proficiency in
-
, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
-
, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
-
areas. Key Responsibilities: To independently undertake research in computer vision and machine learning. To produce research reports and/or publications as required by the funding body
-
thermal imaging data, and potential clinical and signal data, to create algorithms capable of recognizing key clinical activities and interventions. Building on recent advances in computer vision and
-
biology, bioinformatics, computational biology, systems biology, or related fields Experience or strong interest in mitochondrial biology, CRISPR screens, machine learning, transcriptomics, or metabolic
-
of publications. Criteria Essential or desirable Stage(s) assessed at A PhD (or close to completion of a PhD) in Machine Learning or a similar area (e.g. in Computer Science, Electrical and Electronic Engineering
-
before application deadline. Strong programming skills and experience with AI, computer vision, image analysis and deep learning are advantages. Knowledge of hematology, cytology and pathology is a plus
-
computer vision and machine learning research group in Australia -- and contribute to world-leading research projects at the CommBank Centre for Foundational AI This postdoctoral research position is part of
-
Learning/Computer Vision. The experience in diffusion models is a plus. Have a PhD degree in computer science/engineering or related disciplines. Knowledge of autonomous vehicles or cyber security will be