Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
school visits on campus and managing group tours on campus, maintaining statistics regarding number of visitors; providing administrative and secretarial support to the Managers; and maintaining an office
-
candidates should have, or be in the process of completing, a PhD (or equivalent) in Biomedical, Electrical or Computer Engineering, Computer and Information Science, Applied Mathematics, Statistics
-
to opportunities to leverage information in these datasets to answer research questions (2) Developing analytical models and performing statistical analysis, including running regressions (3) Monitoring the status
-
Details Posted: 02-Feb-24 Location: New York, NY Salary: Open Categories: Academic/Faculty Internal Number: 120765 Dr. Suzanne Leal's group in the Center for Statistical Genetics at Columbia
-
Science, Statistics, Biostatistics, Computational Biology, Applied Mathematics, Computational Neuroscience, Genomics, or Bioinformatics), and extensive experience in standard workflows for analysis of large-scale
-
an opportunity to gain experience in academic business research, with a special focus on fields such as finance, economics, statistics, and data science; and would be ideal preparation for a Ph.D. program or other
-
(e.g., NHANES). Responsibilities: Maintains and organizes datasets Performs statistical analyses of datasets, including descriptive analysis, survival analysis, prediction modeling, and multiple
-
effectively in collaborative research groups. Experience in research or healthcare. Experience with statistical analysis software (e.g., R or similar software). Experience in research using wearable and/or
-
including cell culturing, standard biochemical measurements, enzymatic assays, native electrophoresis, and fluorescent scanning. Perform laboratory experiments with guidance. Perform statistical analysis
-
within LEAP. The applicant should have a background in atmospheric modeling, atmospheric science, or closely related fields, and ideally should have significant experience in machine learning or statistics