Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of North Carolina at Chapel Hill
- Oak Ridge National Laboratory
- Institute of Physical Chemistry, Polish Academy of Sciences
- Stony Brook University
- University of Texas at Arlington
- European Synchrotron Radiation Facility
- Free University of Berlin
- Rutgers University
- The Ohio State University
- University Medical Center Göttingen
- University of California Irvine
- 1 more »
- « less
-
Field
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 15 hours ago
Position Title Post-Doc Research Associate Vacancy ID PDS004739 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range
-
in Grenoble, France. Through its innovative engineering, pioneering scientific vision and a strong commitment from its 700 staff members, the ESRF is recognised as one of the top research facilities
-
supercomputers, and computational imaging. Research Areas of Interest (include but are not limited to): Vision Transformers and foundation models for scientific and biomedical imaging Federated and distributed
-
to the translation of the four core optogenetic approaches to restore i) hearing and ii) vision and explore the potential of optogenetics for iii) gastric pacemaking and iv) brain-computer interfaces. These four teams
-
biomedical engineering, electrical engineering, computer science, biostatistics, or a related field. Preferred Qualifications Doctor degree in biomedical engineering, electrical engineering, computer
-
artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer
-
artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer
-
Science, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with
-
needed. Required Qualifications Ph.D degree in biomedical engineering, electrical engineering, computer science, biostatistics, or a related field. Preferred Qualifications Doctor degree in biomedical
-
significant mathematical and computational background to learn and develop new AI methods. While demonstrated experience in computer vision and deep learning for pathology or other biomedical image analysis is