Sort by
Refine Your Search
-
Previous Job Job Title Post-Doctoral Associate in Statistical Genetics/Omics Next Job Apply for Job Job ID 369329 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary
-
of Health R01 DC017114. The goals of this grant are to understand the time course of listening effort, especially as it relates to listening with a cochlear implant. The PA is expected to focus on statistical
-
Essential Qualifications Applicants require a PhD in a Biochemistry-related field Preferred Qualifications: Experience with animal behavioral studies, advanced statistics, and experimenta design
-
Record of scholarly publication Strong quantitative analysis skills, with a minimum of 3 years of statistical programming experience with R, Stata, and/or SAS Excellent English language written, verbal
-
or more of the following: ● Experience with urban watershed modeling or lake systems modeling ● Experience with limnological or aquatic field methods ● Experience with statistical methods for making
-
methods of data analytics (e.g., statistics, stochastic analysis, Bayesian statistical analysis), physically-based hydrology and water quality models, and the use of machine learning tools for modeling flow
-
classes in the graduate and undergraduate curricula and/or similar classes, either in an in-person or online modality: ● Quantitative and Psychometric Methods ● Multivariate Statistics ● Measurement
-
Preferred Qualifications: • Demonstrated productivity through first-author and collaborative publications in immunology • Strong background in experimental design, statistical data analysis, and data
-
statistical methods to agronomic research, including mixed models, geospatial statistics, multivariate analysis, and machine learning - Must possess and maintain an active and valid driver’s license Preferred
-
publications in immunology • Strong background in experimental design, statistical data analysis, and data visualization • Prior mentoring experience and capacity for collaborative research across disciplines