229 proof-checking-postdoc-computer-science-logic Postdoctoral positions at Princeton University
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: 280092641 Position: Postdoctoral Researcher in dual-frequency comb spectroscopy at the nanoscale Description: The Princeton University Department of Chemistry seeks to hire a postdoctoral researcher for an
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background check policy. The work location for this position will either be in-person on-campus at Princeton University, or subject to approval, at an off-campus location where the research project is being
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. The University also offers a comprehensive benefit program to eligible employees. Please see this link for more information. Requisition No: D-25-PHY-00007 PI280092633 Create a Job Match for Similar Jobs About
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The Department of Operations Research & Financial Engineering invites applications for postdoctoral and more senior research positions. Individuals with evidence of experience in scholarly research
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, lipid vesicles, polymer physics, active materials, single molecule biophysics, biomaterials, materials chemistry, fluid mechanics, rheology, and computational modeling. Candidates should apply at https
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the humanities and social sciences. The Term of Appointment is based on rank: the PDRA position is for one year with the possibility of renewal pending satisfactory performance and continued funding; those hired
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The Princeton University Department of Chemistry seeks to hire a postdoctoral researcher for an appointment in Prof. Herschel Rabitz's laboratory. The successful candidate will adapt a dual
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at Princeton University.We welcome applications from all areas in mechanical and aerospace engineering, including but not limited to the fields of: Bioengineering Combustion and Energy Science Computational
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Postdoctoral Research Associate, Hellenic Studies and the School of Public and International Affairs
offers a comprehensive benefit program to eligible employees. Please see this link for more information. Requisition No: D-26-HLS-00003 PI280077824 Create a Job Match for Similar Jobs About Princeton
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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