Sort by
Refine Your Search
-
the social sciences, statistics, computer science, or related fields, and their interests must fall at the technical forefront of quantitative social science. Candidates should offer state-of-the-art
-
the application of statistics and machine learning in social science. The position requires no teaching, though teaching opportunities may be provided if requested. When teaching, successful candidates will carry
-
turbulence, or empirical statistical downscaling. The individuals will have access to state-of-the-art numerical models and high-performance computing systems at Princeton and NOAA, working alongside GFDL
-
of tools and public goods. Requirements Applicants must have (or expect to have at time of appointment) a PhD in the social sciences, statistics, computer science, or related fields, and their interests must
-
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
-
Physical Sciences Laboratory and Center for Operational Oceanographic Products and Services to develop and enhance statistical assessments of coastal sea level representation. The overall goal is to