165 scholarship-phd-agent-based-modelling Postdoctoral positions at Princeton University
Sort by
Refine Your Search
-
Listed
-
Field
-
activities of Princeton University. Ph.D. required. The program is open to all regardless of citizenship. The term of appointment is based on rank. Positions at the postdoctoral rank are for one academic year
-
of the Fellows by providing research support, mentoring, advocacy, and community. The Term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal
-
in-person on campus at Princeton University.The Term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal pending satisfactory
-
on the identification of small molecules from mass spectrometry-based metabolomics data, in part based on generative AI models of chemical structures. The position is available starting July 2025, and will remain open
-
for postdoctoral or more senior research positions to join any of the several interdisciplinary research groups in our Institute. The Term of appointment is based on rank. Positions at the postdoctoral rank
-
computational chemistry. The Term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal pending satisfactory performance and continued funding; those
-
August 2026. The Center supports empirical research on democratic political processes and institutions. PhD required. Each post-doctoral associate will pursue research and contribute to the intellectual
-
skillsExpertise in Generative AI: Strong background in machine learning, with specific experience in Large Language Models (LLMs), and Vision-Language Models (VLMs)Excellent programming skills (Python is required
-
position. Applicants should have a PhD degree (or expect to receive a PhD degree by June 15, 2025) in Psychology or allied fields (e.g., Sociology) with an interest in conducting research relevant to racial
-
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