Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
on available work, funding, and performance. Anticipated Division of Time (30%) Direct research program in AI/ML applications for climate science, including supervising team members, developing novel algorithms
-
well as collaborator data and publicly available data from an array of cities. As such, the postdoc should have strong experience working with large datasets, modeling ecological data, and maintaining national
-
in CAPS and the Lab. This role will build on the success and experience of the existing team at developing a global workflow for high spatiotemporal resolution avian distributions and population trends
-
engaging education researchers and EdTech product developers through a mini-grants program. The postdoc will be expected to make meaningful contributions to these activities. The NTO seeks applications for a
-
Cornell University, Systems Engineering Position ID: Cornell -Systems -POSTDOC [#27468] Position Title: Position Type: Postdoctoral Position Location: Ithaca, New York 14853
-
, developing novel algorithms for pattern detection, extreme event attribution, and seasonal forecasting. Lead development of innovative visualization techniques and interpretable machine learning methods. (30
-
affiliated faculty, graduate students, and postdocs. See http://www.cpc.cornell.edu/ for more information about CPC. Applicants must have completed a Ph.D. in demography, economics, sociology, or another
-
. This role will build on the success and experience of the existing team at developing a global workflow for high spatiotemporal resolution avian distributions and population trends, and for applying
-
Postdoctoral Associate: Neurodegeneration – Hu Lab, Weill Institute (Research & Innovation) Postdoc Associate: Neurodegeneration – Hu Lab, Weill Institute Weill Institute The Fenghua Hu lab (https
-
, developing novel algorithms for pattern detection, extreme event attribution, and seasonal forecasting. Lead development of innovative visualization techniques and interpretable machine learning methods. (30