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the direction of Professor James Olsen and the Princeton CMS Group. Essential Duties: Program, troubleshoot, and operate production automation systems; Perform manual repairs using state-of-the-art 25-micron fine
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particles as part of the High-Luminosity Large Hadron Collider (HL-LHC) program. The tracker will comprise six barrel layers and ten endcap layers (5+5), with each layer containing modules made up of two
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postdoctoral research associate position, to start as early as September 2025. The Ferris group studies high-temperature reaction chemistry and particulate formation using optical diagnostic methods, with
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those operating at low pressure, for the purposes of scientific discovery and engineering design. The successful candidate will achieve this objective through the application of high-performance computing
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The High Meadows Environmental Institute (HMEI) at Princeton University is accepting applications for the 2026-2027 HMEI Environmental Fellows Program. This postdoctoral program seeks scholars from
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, high-quality and coordinated research administrative services to Princeton University faculty, researchers and departmental staff. The GCA is responsible for the formal solicitation, negotiation and
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, chemistry, computer science, engineering, physics or an M.D. with a track record of outstanding research accomplishments and high independent work capacity. Appointment will be to a postdoctoral rank, with a
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computer keyboard and other office equipment. Operates motor vehicles or heavy equipment (e.g., forklift, high reach, cherry picker) occasionally (less than 33% of the workday). Lift or carry up to 50 pounds
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interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling redox-active solid-state materials
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(energy auditing, GHG accounting, resource recovery)*Strong publication record and excellent written/verbal communication skills*Experience in coding for high performance computing (e.g., university cluster