51 phd-mathematical-modelling-ecological-modelling Postdoctoral positions at Cornell University
Sort by
Refine Your Search
-
regular supervision and mentorship from Professor Virginia Doellgast, Anne Evans Estabrook Professor of Employment Relations and Dispute Resolution. Required Qualifications: PhD in Industrial Relations
-
at our web sites, http://www.ilr.cornell.edu . Required Qualifications: PhD in Industrial Relations, Public Policy, Sociology, Political Science, Management, City and Regional Planning, or a closely
-
researchers, including the Cornell Institute for Digital Agriculture (CIDA). What We're Looking For: DVM and/or PhD (or equivalent) in veterinary, animal, or biological sciences. Experience or strong interest
-
through Academic Jobs Online https://academicjobsonline.org/ajo/jobs/29398 . If you are a PhD candidate, please include a letter from your advisor or DGS confirming that you will have completed your PhD
-
). What We’re Looking For: DVM and/or PhD (or equivalent) in veterinary, animal, or biological sciences. Experience or strong interest in: Udder health and animal welfare Digital learning and employee
-
of postdoctoral associates, PhD students, and several Master’s or undergraduate students across multiple universities and organizations. The research team will work alongside the engineering team to investigate
-
to have three letters of reference uploaded to their application, one of which should be from the candidate's PhD adviser. The subm ission deadline is October 1st, 2024, which will allow us to nominate the
-
preference towards the pixel forward detector upgrade. Required Qualifications: PhD in experimental high-energy physics is required by the start of the appointment Strong record of accomplishment in data
-
. The Postdoctoral Associate will participate in a cross-disciplinary research team comprised of faculty Co-PIs, a research director, PhD students, and several Master’s or undergraduate students across multiple
-
a PhD in agricultural and resource economics, economics, or related field by the start of the position. The ideal candidate has a strong quantitative background (econometrics and causal inference