-
ecology, wildlife biology, conservation biology, natural resources, statistics, or a related quantitative field. Strong mathematical and programming skills, experience in statistical estimation and
-
, wildlife biology, conservation biology, natural resources, statistics, or a related field, with a focus on quantitative methods in population ecology. Strong mathematical and programming skills, demonstrated
-
, operations research, or mathematic. Cornell University hosts the Eric and Wendy Schmidt AI in Science Postdoctoral Fellowship, a program of Schmidt Futures. This program supports collaborative research
-
mathematical and programming skills and use of R and GIS. Experience with acoustic data, preferably related to population monitoring. Experience creating and manipulating large databases. Excellent writing and
-
Requirements: Ph.D. in ecology, wildlife biology, conservation biology, natural resources, statistics, or a related quantitative field. Strong mathematical and programming skills, experience in statistical
-
. Mathematical and probabilistic models, hybrid numerical approaches, computational algorithms, and integrated software platforms for modeling and managing the interactions among urban technology, infrastructure
-
. Requirements The applicant must have a PhD in biology, mathematics or a related discipline and significant experience in modeling population dynamics (familiarity with time series data and/or population dynamic