Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Forschungszentrum Jülich
- Bowdoin College
- George Washington University
- Heriot Watt University
- Oak Ridge National Laboratory
- DAAD
- Durham University
- Loyola University
- Oregon State University
- Princeton University
- Saint Louis University
- University of Minnesota
- University of Pennsylvania
- University of Texas at Austin
- University of Washington
- Villanova University
- Zintellect
- 7 more »
- « less
-
Field
-
these duties with occasional oversight and direction. 2. Assistance with the design and implementation of animal histology pipeline, including transcardial perfusion, brain extraction, slicing, and processing
-
with archival best practices, including those related to research, processing, and/or digitization; basic familiarity with current approaches to digitization, image manipulation, file management, and/or
-
Posting Details Do you have questions about the application process? If so, please refer to the Applicant FAQ’s. Position Information Posting Number: 20260014V Position Title: UG Research Assistant
-
with archival best practices, including those related to research, processing, and/or digitization; basic familiarity with current approaches to digitization, image manipulation, file management, and/or
-
with archival best practices, including those related to research, processing, and/or digitization; basic familiarity with current approaches to digitization, image manipulation, file management, and/or
-
biomolecular studies, image analysis, and quantification. The RA will work under the direct mentorship of senior graduate researchers to master specialized laboratory techniques. The RA will report directly to
-
Experience with Python and machine learning libraries (PyTorch, TensorFlow, scikit-learn). Understanding of deep learning, CNNs, Capsule Networks, and image processing fundamentals. Basic knowledge of handling
-
the Marine Mammal Institute to process zooplankton samples in the lab, and process photographic and drone video data on the computer. The position is funded by a grant to encourage participation by
-
computer vision methods and their applications Your Profile: Excellent Master’s degree in engineering, computer science or mathematics (or a related field), with a focus on computer vision, image processing
-
science, or mathematics (or a related field), with a focus on robot vision and control, image processing, or machine learning Solid mathematical and physics background, distinct analytical skills Very good programming