Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
University Art Museum expected. The successful candidate will start September 1, 2025. PhD required by the start date. Apply online at https://puwebp.princeton.edu/AcadHire/position/35642 with a cover letter
-
faculty. We are particularly interested in receiving applications from members of groups that have been historically underrepresented in Computer Science. A PhD in Computer Science or a related area is
-
for graduate school or work in a data science career. Work includes tasks such as conducting advanced econometric analysis and preparing results tables, managing large data sets, handling spatial data, applying
-
appointment options for them, making appropriate decisions regarding which practitioner and time frame is best suited for that particular concern and correctly documenting and acting on this information
-
As part of a major new initiative in interdisciplinary data science, Princeton University is searching for tenured and tenure-track faculty members across all science, engineering, social science
-
public-facing museum and will communicate effectively with both scholarly and broad audiences. A PhD in art history, anthropology, or a related field is required for this position. Applicants must have
-
is best suited for that particular concern and correctly documenting and acting on this information. Exhibits superior communication skills and professionalism in order to provide a safe and
-
Applicants must upload to the online portal the following information by December 15, 2025, 11:59pm Eastern Standard Time: 1. a curriculum vitae 2. a cover letter 3. a writing sample (written in the last three
-
Princeton University is pleased to announce a search for Ludwig Princeton Scholars, a program aimed at attracting talented early-career scientists (0-2 years experience from PhD, MD, or clinical
-
for mass spectrometry data, with artificial intelligence/machine learning (AI/ML) being a major focus. They will have an opportunity to develop new AI/ML approaches for anti-doping, with a focus on