81 parallel-computing-numerical-methods-"DTU" Postdoctoral positions at Princeton University
Sort by
Refine Your Search
-
quantitative and computational social science, addressing a diverse array of new data and analytic challenges, facilitating impactful multidisciplinary collaboration, scholarly advancement, and the creation
-
employment. Individuals with expertise in relevant modeling methods are encouraged to apply, including but not limited to integrated assessment modeling, energy systems modeling, supply chain modeling, etc
-
. The candidate's work may use empirical or theoretical methods to address important policy questions. The position offers an outstanding opportunity for independent research, as well as opportunities
-
assessment, and geospatial modeling methods and tools. Applicants should have strong, demonstrated research ability, and excellent English written and spoken communication skills. Preference will be given
-
and additive manufacturing of architected materials. Previous experience in experimental, numerical, and parametric design research and experience is a plus. The project involves entrepreneurial
-
into their models; or 2.Computational social scientists with experience in empirical research and/or theoretical modeling, who are motivated to incorporate their methods into energy modeling. All applicants must
-
for the Postdoctoral Research Associate role . DDSS supports technical and methodological innovation in quantitative and computational social science, addressing a diverse array of new data and analytic challenges
-
integrated assessment modeling, energy system modeling, or agent-based modeling, who are eager to incorporate socio-political dynamics into their models; or 2.Computational social scientists with experience in
-
differential equations, computational fluid dynamics and material science, dynamical systems, numerical analysis, stochastic problems and stochastic analysis, graph theory and applications, mathematical biology
-
revolutionize the understanding and advancement of human health by conducting interdisciplinary foundational research, developing and harnessing advanced computational approaches, and training the next generation