-
Princeton University, Program in Applied and Computational Mathematics Position ID: 639 -PDRA1 [#24843, PACM2025] Position Title: Position Type: Postdoctoral Position Location: Princeton, New
-
: Experimental condensed matter physics, cosmology and astrophysics, particle astrophysics and dark matter, high energy, atomic, pulsar and biophysics; theoretical cosmology, condensed matter, mathematical, and
-
and biophysics; theoretical cosmology, condensed matter, mathematical, and particle physics. Candidates for the position must have a Doctorate degree in Physics or a related discipline. To apply
-
Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 04-May-25 Location: Princeton, New Jersey Type: Full-time Categories: Other Staff/Administrative Internal Number: 270175814 Position: Postdoctoral Research Associate Description: The condensed matter spectroscopy...
-
advance the use of mathematical and statistical models of infectious disease transmission as tools for anticipating and addressing socioeconomic and geographic inequalities in infectious disease morbidity
-
, computer science, electrical engineering, applied mathematics, or operations research) before May 2025 are encouraged to apply. Ideal candidates will display outstanding ability for research and a record of
-
Details Posted: 22-Mar-25 Location: Princeton, New Jersey Type: Full-time Categories: Other Staff/Administrative Internal Number: 266054431 Position: Postdoctoral Research Associate Description: The condensed matter spectroscopy group at Princeton University invites applications for multiple...
-
mathematics field; - A strong background in theoretical mechanics and applied mathematics, with an expertise in artificial intelligence and circular economy. Expertise in biology, urban planning, parametric
-
the ultimate goal of enhancing their efficiency, resilience, and adaptability. Qualifications: The ideal candidate for this position will hold a Ph.D. in Network Science, Applied Mathematics, Civil Engineering
-
on developing new systems models to examine social and biological drivers of infection inequality. The overarching goal of this postdoctoral position is to advance the use of mathematical and statistical models