Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- Northeastern University
- NTNU - Norwegian University of Science and Technology
- University of British Columbia
- University of Cincinnati
- ;
- Curtin University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Nature Careers
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- UiT The Arctic University of Norway
- University of Adelaide
- University of Michigan
- ; University of Oxford
- Aalborg University
- AbbVie
- Carnegie Mellon University
- Central Michigan University
- George Mason University
- James Madison University
- King's College London
- La Trobe University
- National Renewable Energy Laboratory NREL
- Singapore Institute of Technology
- Stanford University
- The University of Queensland
- UNIVERSITY OF SURREY
- University of Birmingham
- University of Inland Norway
- University of Kansas Medical Center
- University of Lincoln
- University of North Carolina at Chapel Hill
- University of Oxford
- University of Sheffield
- University of South-Eastern Norway
- University of Surrey
- University of Texas at Austin
- Western Norway University of Applied Sciences
- 28 more »
- « less
-
Field
-
, 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
-
of causal reasoning tools, including causal inference, counterfactual analysis, causal discovery. Development of deep learning methods on computer vision. Job Requirements: Preferably PhD in Computer
-
learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key Responsibilities Participate in and manage the research project together with the PI, Co-PI
-
novel research methodologies in computer vision, deep learning architectures, and neuro-fuzzy systems to contribute to the development of robust AI frameworks for medical diagnosis and treatment support
-
a postdoctoral candidate in the area of federated learning and wireless communications. The candidate must hold (or about to complete) a PhD in the related fields. The candidate will be involved in a
-
disciplines, including human-robot interaction, robot learning, soft robotics, computer vision, and agricultural robotics. About the PhD project: We are looking for a highly motivated and talented PhD research
-
Qualifications* PhD in Computer Science or Engineering, Biomedical Engineering, Neuroscience, Bioinformatics, or other relevant field. Experience with machine learning and statistical analyses. Proficiency with
-
will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and
-
: Autonomous Systems and robotic platforms Agricultural Robotics and precision agriculture technologies Artificial Intelligence and Machine Learning applications Computer Vision and sensor integration