Sort by
Refine Your Search
-
Associate & Post Doc Fellow, Artificial Intelligence, Technology, & Precision Nutrition & Health Cornell University is seeking applications for two postdoctoral positions: a Joan Klein Jacobs Postdoctoral
-
Cornell University The Johnson lab is seeking to welcome a postdoctoral research associate to the group who specializes in microbiome science with an emphasis on host-microbe interactions. The ideal
-
of Agriculture and Life Sciences Cornell University, Ithaca, New York Postdoctoral Associate: Quantitative Tropical Ecology and Conservation The College of Agriculture and Life Sciences (CALS) is a pioneer of
-
Post Doc Associate & Post Doc Fellow, Artificial Intelligence, Technology, & Precision Nutrition & Health Cornell University is seeking applications for two postdoctoral positions: a Joan Klein
-
) methods to tackle complex biomedical challenges in nutrition and health. This is a one-year full-time benefits-eligible position that may be extended for up to four more years, depending on performance
-
relationships within complex molecular networks (protein-protein interactome and gene regulatory networks in particular) and how perturbations to such systems may lead to various human diseases. The Yu Lab
-
at Cornell University is seeking a Postdoctoral Associate to advance research on maize and grass molecular diversity using genomic large language models (AI). The goal is to design nitrogen-efficient maize
-
of Agriculture and Life Sciences Cornell University, Ithaca, New York Postdoctoral Associate: Quantitative Tropical Ecology and Conservation The College of Agriculture and Life Sciences (CALS) is a pioneer of
-
College of Agriculture and Life Sciences Cornell University, Ithaca, New York Postdoctoral Associate: Quantitative Tropical Ecology and Conservation The College of Agriculture and Life Sciences (CALS) is a
-
architecture and design for complex socio-technical systems Graph theory, network science, and knowledge representation Agent-based and simulation modeling AI/ML, foundation models, causal inference, and