Sort by
Refine Your Search
-
Country
-
Employer
- University of British Columbia
- University of Cincinnati
- Carnegie Mellon University
- George Mason University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NTNU - Norwegian University of Science and Technology
- Northeastern University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Stanford University
- UNIVERSITY OF ADELAIDE
- UNIVERSITY OF SURREY
- UiT The Arctic University of Norway
- University of Inland Norway
- University of Kansas Medical Center
- University of North Carolina at Chapel Hill
- University of Sheffield
- Western Norway University of Applied Sciences
- 7 more »
- « less
-
Field
-
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
-
and programming skills and experience of computer vision and machine learning. Previous experience of real time systems development in Python, OpenCV, PyTorch and deep learning are essential. Experience
-
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
-
commercially orientated research projects in computer vision and machine learning. To be successful you will need: A PhD in Computer Science, Engineering or other Machine Learning-related field. Programming
-
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
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 10 hours ago
of drug development, regulatory science, and advanced computational modeling. This position will involve integrating mechanistic modeling and machine learning methods to analyze and predict drug properties
-
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
-
development of computer systems for data analysis, development of machine learning methods, and the clinical use of technology. Within the research groups you will therefore work together with computer
-
PhD in Aerospace Engineering, Mechanical Engineering, Electrical Engineering or Computer Science with a focus on dynamics and control. Additional Qualifications Considered PhD in Aerospace Engineering
-
graduates who are considering entering a graduate degree program (Ph.D. / JD) in the near future. The first two fellows have gone on to pursue PhDs at MIT and Harvard, respectively, as well as a JD at