96 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at University of Washington
Sort by
Refine Your Search
-
Scheduled Hours 37.5 Position Summary WashU’s Office of Postdoctoral Affairs (OPA) is seeking a Program Manager for Postdoctoral Services and Operations, who reports directly to the Assistant Vice
-
. The successful candidate will be a member of a highly interdisciplinary team including oncologists, biologists, engineers, and imaging scientists. The candidate will develop computational models of human disease
-
computer vision and machine learning approaches to integrate ground-based imagery, remote sensing data, and lidar data for high-resolution flood detection and mapping. Develop and calibrate hydraulic flood
-
website incorporating this data. Extensive computer coding experience. Extensive independent teaching experience and excellent communication skills. Excellent interpersonal skills and the ability to work
-
, atmospheric signals), data fusion across sensing modalities, and development of scalable machine learning pipelines. Work will be entirely computational and based in Seattle, with no field deployment
-
the Center’s co-founders and affiliate faculty, including sociologists, information scientists, computer scientists, and policy experts. Located in Seattle, the position also offers opportunities for engagement
-
morphology (e.g., geometric morphometrics, machine learning), and phylogenetic comparative approaches. We have: • An engaging, supportive, and collaborative research environment. • Opportunities
-
implement new computational and statistical methods. Create, test, and use relevant computer code (R, Python, SQL or equivalent). Maintain, modify, and execute analytic machinery that results. Draft
-
computer simulations, as well as prior work with food and other biomaterials. The application deadline is December 15, 2025. Interested applicants are encouraged to contact Juming Tang (jutang88@uw.edu
-
or viral culture. Advanced statistical/data analysis skills. Curiosity about virology (extensive prior knowledge not required; a strong desire to learn is essential). Qualifications Requirements: PhD in