116 algorithm-development-"Multiple"-"Prof"-"UNIS"-"DIFFER" positions at Princeton University
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courses. Program faculty and senior researchers will offer mentoring to support professional development. Former postdoctoral researchers with SGS have pursued careers in academia, nongovernmental and
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of ecology, evolution, and/or behavior, while also contributing to Princeton University's excellence and diversity, broadly defined. The Program is intended to foster the onward scientific careers
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degree (or expect to receive a PhD degree by June 15, 2026) in Psychology with demonstrated expertise in gender development. Applicants should have expertise in video coding (e.g., Datavyu), longitudinal
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PPPL. PPPL will provide the fellow with mentorship, training, professional development and outreach opportunities to both build a sense of community with PPPL and Princeton University colleagues, and to
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or mentor working collaboratively on a thesis topic of mutual interest to the student’s home institution and PPPL. PPPL will provide the fellow with mentorship, training, professional development and outreach
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successful candidate will develop and apply computational approaches to chemical datasets, with artificial intelligence/machine learning (AI/ML) being a major focus. Many of the laboratory's interests center
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of development, investment decision making, financing, and construction activities that are associated with the disciplined allocation of capital to large-scale infrastructure projects by corporations
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senior researcher in the areas of soft materials and polymer physics. The successful candidate will develop strategies to design, synthesize, and characterize the properties of soft materials using
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technologies. The Pritykin lab (http://pritykinlab.princeton.edu ) develops computational methods for design and analysis of high-throughput functional genomic assays and perturbations, with a focus on multi
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-microenvironment interactions during cancer progression. Ludwig Princeton Branch is dedicated to accelerating the study of metabolic phenomena associated with cancer to develop new paradigms for cancer prevention