Sort by
Refine Your Search
-
Position Description As the preeminent educational institution in the world focused on work, employment and labor, the School of Industrial and Labor Relations (ILR) generates and shares knowledge
-
projects as a Postdoctoral Associate, to start in Fall 2026/Spring 2027. Candidates with research interests and training background in bioengineering, molecular biology, metabolic engineering, chemical
-
that estimate abundance, density, or related population measures from raw audio or acoustic detections. These approaches may use eBird observations or eBird Status products as covariates, priors, or sources
-
. Position expected start date in November 2026. The successful candidate will work on this project to develop next generation disease panel-based diagnostics together with other members of the Diel Lab with
-
the Cornell Lab to build the next generation of biodiversity monitoring systems. By combining the complementary strengths of community science observations and acoustic data, we aim to develop scalable
-
of the appointment; participate actively in Program seminars, lectures, and other events; mentor students; present work in progress annually; deliver a public lecture; and develop or lead an initiative
-
around the world. Position Function This Postdoctoral Associate will propose, develop, and execute an independent empirical research study examining a novel question that gets at the political economy of
-
complex datasets Develop final publishable-quality tables and figures for inclusion in research manuscripts Write and clearly document research code to clean, maintain, and analyze datasets Manage data
-
, NY. Postdoc position responsibilities will include: • Conduct epidemiological and statistical analyses of large complex datasets • Develop final publishable-quality tables and figures for inclusion in
-
] dataset), along with open-source applications that support data processing and analysis grounded in Responsible AI principles. A core part of the NTO’s mission is to develop open data and computational