223 computer-science-quantum-"https:"-"https:"-"https:"-"https:"-"https:"-"L2CM" positions at Princeton University
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
potentially limitless energy source. PPPL is also using its expertise to advance research in the areas of microelectronics, quantum sensors and devices, and sustainability sciences. Whether it be through
-
of microelectronics, quantum sensors and devices, and sustainability sciences. Whether it be through science, engineering, technology or professional services, every team member has an opportunity to contribute to our
-
of Computer Science) and other members of ARG on interdisciplinary research and design projects, exhibitions, publications, and full-scale robotically fabricated structures. The desired start date is Spring 2025
-
and benefits, the program will provide a research fund in the amount of $3,000 per year and a shared office space. Anticipated position start date is 9/1/2026. Applicants must apply online at https
-
The Princeton Quantum Initiative (PQI) seeks a part-time Event Assistant to support the active programming in the new initiative. Reporting to the Graduate & Events Program Administrator, the Events
-
contribute to cutting-edge research in the synthesis of quantum materials, their characterization, and analysis of their properties. The primary responsibilities include synthesizing Crystalline inorganic
-
-scale meta-analyses of mass spectrometric datasets (https://www.nature.com/articles/s41592-021-01194-4). The research is computational in nature but involves close interactions with experimental
-
Sciences (PExL). Proof of Ph.D. completion is required. The program is open to all regardless of citizenship and does not support work towards the completion of a degree. The Term of appointment is based
-
to advance research in the areas of microelectronics, quantum sensors and devices, and sustainability sciences. Whether it be through science, engineering, technology or professional services, every team
-
propulsion. Applied Materials and Electromanufacturing Advancing plasma processing science and electrified manufacturing technology. Using high performance computing, machine learning and advanced numerical