76 neuroimaging-machine-learning-engineer Postdoctoral positions at Cornell University
Sort by
Refine Your Search
-
are especially excited to hear from candidates eager to invent new tools, wetlab approaches for circulating nucleic acids, interpretable machine learning for biomarker discovery, and methods we haven’t imagined
-
practice-engaged research on how engineers learn, how engineering knowledge and identities are formed, how we assess and evaluate learning, and how educational systems can be designed and transformed
-
research on how engineers learn, how engineering knowledge and identities are formed, how we assess and evaluate learning, and how educational systems can be designed and transformed to support meaningful
-
Postdoctoral Associate - Seed Biology and Technology Program The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University’s second largest
-
Responsibilities will vary depending on the Fellow’s background, but may include: Developing machine learning, optimization, or simulation models to improve clinical operations and resource allocation Advancing
-
Postdoctoral Associate in Engineering Education Research, Chemical and Biomolecular Engineering, Ithaca NY. Cornell University Revolutionizing Engineering Departments Postdoctoral Associate in
-
Postdoctoral Associate in Engineering Education, Ithaca NY Pay Range: $62,232.00 - $88,745.00 Pay Ranges: The hiring rate of pay for the successful candidate will be determined considering
-
workforce equipped with expertise in integrating advances in biomedical engineering, technology, and Artificial Intelligence (AI) and Machine Learning (ML) methods to tackle complex biomedical challenges in
-
engineering, chemistry, or a related field to establish single-crystal diamond chemical vapor deposition (CVD) growth as a new capability at Cornell University. Diamond color centers, including the nitrogen
-
resources for the broader education research and developer community. The Postdoctoral Associate will participate in cross-disciplinary research and development projects related to learning engineering and AI