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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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genomic data for reconstructing evolutionary patterns and processes that have shaped biological history across deep timescales. The ideal candidate will have a background in phylogenomics and bioinformatics
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-Sigler Institute for Integrative Genomics and the Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning
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of Public and International Affairs. The research position requires a PhD in a relevant field (e.g., geography, urban planning, data science, sociology, public health, emergency management). Ideal
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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
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technical writing skills is essential (preprints are welcome).Candidates must have (or expect to soon receive) a PhD in materials science, physics, chemistry, electrical engineering, mechanical engineering
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the following areas as demonstrated through at least one first-author publication: computational biology/bioinformatics, cheminformatics, analytical chemistry/mass spectrometry/metabolomics, or machine
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researchers at Princeton and other institutions, to study novel renewable energy technologies. The candidates are expected to have a PhD degree in Chemical Engineering or related field, and have experience with
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the 2026-27 academic year. As a leading global institution in interdisciplinary research on international issues, PIIRS is dedicated to advancing innovative scholarship that addresses the world's most
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areas as demonstrated through at least one first-author publication: computational biology/bioinformatics, cheminformatics, analytical chemistry/mass spectrometry/metabolomics, or machine learning