Student Researcher, Statistical Computing

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Statistical Computing in the Collyer Lab of Evolutionary Morphometrics

What you will be doing:

The student researcher will conduct simulation experiments to generate statistical power and effect-size consistency profiles for many combinations of signal strength in simulated data, multivariate statistics, data-reduction methods, and amount of data reduction. These profiles will allow statistical power and consistency of various statistics to be evaluated over many different data analysis scenarios, which would be valuable for various scientific disciplines.

Learning outcomes:

The student will develop skill coding in R, experience in statistical research, experience in statistical computing, and experience in multivariate statistics.

Skills required:

Essential skills include previous experience with r programming, and a sound foundation in mathematics and statistics (at least five courses in math or statistics).
All current student employees should notify their other manager(s) if you work multiple jobs on campus at the same time. Additionally, students may not work more than 20 hours per week (combined between all campus jobs) during the academic year. Students may not exceed 980 work hours per calendar year.

Student jobs do not automatically roll over to the next academic year or summer.

Chatham University strives to promote a campus environment that understands and embraces multiculturalism while increasing individuals' intercultural competence. We actively work to build and sustain a diverse and culturally vibrant campus, which promotes employee and student success and retention.

Chatham University is an Equal Opportunity Employer with a strong commitment to diversity, inclusion, and equity. Chatham University does not discriminate on the basis of race, creed, color, religion, gender, gender identity, gender expression, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, age, national origin, age, disability, genetic information, veteran status, marital or family status, political affiliation, or any other characteristic protected by applicable law.

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