Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
to the lab. Qualifications Essential Qualifications: - Bachelors degree or higher in neuroscience, biology, engineering or a related field is required. - 2+ years experience in a wet lab research setting
-
sportsmanship, and ethical conduct. In keeping with this mission, the role of the Assistant Coach is to provide a quality varsity program that will challenge and develop the physical, mental and personal
-
. Serve as a liaison with Princeton Research Computing staff on GPU cluster-related issues. Professional Development Learn the underlying science, mathematics, statistics, data analysis, and algorithms
-
these labs, which involves a wide array of tools ranging from molecular biology and genetics to genomics and state-of-the-art microscopy. Salary and rank will be commensurate with experience. Salary will
-
: 285829880 Visiting Research Scholar - Program in Latin American Studies Location: Princeton, New Jersey Salary Range or Pay Grade: $49,700 per semester Description The Program in Latin American Studies (PLAS
-
: 285829868 Visiting Fellow - Program in Latin American Studies Location: Princeton, New Jersey Salary Range or Pay Grade: $5,000/month Description The Program in Latin American Studies is launching an open
-
state of Princeton's decentralized fleet operations, identified operational gaps and risks, and outlined recommendations for establishing a coordinated, sustainable, and data driven fleet program. The
-
: 285643185 Job Type Full-Time Overview The Lead Systems Engineer for High Performance Computing (HPC) and Artificial Intelligence (AI) works as part of the Advanced Systems team within Research Computing
-
(PIIRS) at Princeton University is pleased to announce the call for applications to the PIIRS Postdoctoral Fellowship Program for the 2027-28 academic year. As a leading global institution in
-
searching for a computational postdoctoral research associate. The project is associated with atomistic plasma-surface interaction simulations, employing machine learned interatomic potentials (MLIPs