Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
3T Siemens MR scanners, OPM-MEG, EEG, eye tracking, and TMS laboratories. They will also have access to Princeton's world-class computational infrastructure, including GPU systems capable of running
-
, including GPU systems capable of running large-scale AI workflows. Applicants should submit online at https://www.princeton.edu/acad-positions/position/39681 and include a cover letter, curriculum vitae
-
transport. Knowledge of low-temperature plasma devices and relevant physics. Theoretical and computational knowledge of the particle-in-cell method. High-performance computing, including MPI, OpenMP and GPU
-
and a new GPU cluster. Opportunities for professional growth and career advancement. Collaborative and inclusive work environment that fosters creativity and innovation. Application of Domain Expertise
-
, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300 H100s). Ideal candidates will have a strong interest and proven experience in designing, understanding, or engineering
-
part of the core PLI team, which includes top-tier faculty, research fellows, scientists, software engineers, postdocs, and graduate students. Fellows will have access to the AI Lab GPU cluster (300
-
structure, novel electronics and bioengineering applications. AI Postdoctoral Research Fellows will have access to the AI Lab GPU cluster (300 H100s). Candidates should have recently received or are about to
-
descriptive and appropriately detailed manner that can be understood by both researchers and future Research Software Engineers. Serve as liaison with Princeton Research Computing staff on GPU cluster related