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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
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, 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
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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
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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
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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