-
, operations research, or statistics). An ideal candidate would have proficient programming skills and demonstrated experience in computational modeling (particularly integrated assessment or power systems
-
observations into calibrated estimates of relative abundance and assessing how those estimates can complement eBird-based monitoring. The specific methodological direction will be shaped jointly, drawing
-
environmental impact assessments of livestock production at regional, national, and international scales. Contribute to life cycle assessments of animal-source foods produced in New York State and the broader
-
will contribute to a spatialized, dynamic life cycle assessment of ruminant production systems in the Northeast U.S. using integrated assessment models. The candidate will also contribute
-
to assess the impacts of implementing efficiency-based methane mitigation strategies on smallholder dairy livelihoods and the potential for environmental rebound effect tradeoffs. They will work with a team
-
will contribute to a spatialized, dynamic life cycle assessment of ruminant production systems in the Northeast U.S. using integrated assessment models. The candidate will also contribute
-
modeling and risk assessment, and demonstrated experience in one or several of the following areas: Tropical cyclone dynamics and thermodynamics Statistical and/or machine learning approaches to weather
-
data to assess extinction risk and generate actionable genetic rescue strategies for conservation practitioners. The Postdoctoral Associate will primarily focus on the development of Genera , with
-
practice-engaged research on how engineers learn, how engineering knowledge and identities are formed, how we assess and evaluate learning, and how educational systems can be designed and transformed
-
addition, the person in this position will be expected to conduct a comparative life-cycle assessment of milk produced under business-as-usual conditions and after implementing each management intervention