Sort by
Refine Your Search
-
Duke University, Department of Mathematics Position ID: Duke-POSTDOC1 [#27572] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27708, United States of America
-
. Required Qualifications at this Level Education/Training: PhD (theoretical nuclear/high-energy physics, quantum information science, lattice gauge theories, quantum many-body dynamics) Experience: Preferred
-
related field • Strong quantitative background (e.g. ecological theory and mathematical modeling, hierarchical statistical modeling, machine learning, remote sensing, geospatial statistics) • Demonstrated
-
Duke University, Department of Mathematics Position ID: Duke-Math-POSTDOCASSOC [#30408] Position Title: Position Type: Postdoctoral Position Location: Durham, North Carolina 27708
-
-principles, network-based framework for plant water and carbon transport under climate extremes. The successful candidate will work at the interface of plant physiology, fluid mechanics, network theory
-
students, support new group members, and collaborate with colleagues across the Duke research community. Required Qualifications: Education/Training- PhD, physics, mathematics, quantum information/mechanics
-
at this Level Education/Training: PhD (theoretical nuclear/high-energy physics, quantum information science, lattice gauge theories, quantum many-body dynamics) Experience: Preferred--computational experience in
-
., conservation, climate, fisheries). Through this, we will uncover the diverse conceptualizations of equity amongst ocean actors and their theories of change of how it affects outcomes, and the contextual factors
-
assistance, if needed. Minimum Qualifications The candidate should have a Ph.D. in Engineering, Physics, Applied Mathematics, Computer Science, or a related area. Experience 0+ years of postgraduate experience
-
, real-world datasets (e.g., panel data, clickstream data, intervention data, survey and psychometric data) • Contributing to theory development in behavioral economics and social science by connecting