Sort by
Refine Your Search
-
to distribute student information in a timely and accurate manner; manages the Study Abroad Fair, Passport Day, and other SAP program events; assists with providing reports, statistics, and analyzing study abroad
-
The Department of Operations Research & Financial Engineering (ORFE) invites applications for a postdoctoral position broadly in statistics and machine learning. This position is supported through
-
establishing and managing collaborative, multisite research projects; conducting advanced statistical analysis on complex data sets; disseminating research through presentations and journal publications; and
-
job posting. The Postdoctoral Research Associates will be appointed through the Center for Statistics and Machine Learning with the possibility for affiliation with other academic departments and/or
-
Postdoctoral Research Associates in a parallel job posting. The Postdoctoral Research Associates will be appointed through the Center for Statistics and Machine Learning with the possibility for affiliation with
-
complex logistics of interviews and practice interviews for several fellowships • conducts statistical analysis of program trends and creates lists, charts, graphs, and other data to support annual reports
-
. Gabriel Vecchi's research group (https://vecchi.princeton.edu) The research will involve modeling and understanding multi-decadal to centennial changes in the statistics of tropical cyclones over the past
-
of cognitive psychology and neuroscience research methods, statistics, and experimental studies with human subjects. Prior research experience in the domain of sensorimotor adaptation would be preferred
-
applicants with a strong background in comparative genomics/transcriptomics. 4) Dynamics of hummingbird-plant interactions. We seek applicants with a strong background in community ecology, statistical
-
applicants who advance discovery in their fields of scholarship using techniques from machine learning and statistics. Applicants may also make research advances in the machine learning and statistical