In this project, we will analyze metabolomics data that were obtained from Intrauterine growth restriction (IUGR) patients and healthy subjects to develop a prediction model and identify potential biomarkers for IUGR.
Student will preprocess the metabolomics data and apply feature selection algorithms at the first place to discover the most useful metabolites for classification and clustering tasks.
The candidate should have exposure to statistics as well as programming. There's no preference on programming language as long as the student has necessary skills beyond 200-level CS programming courses.
This position is open to college level students.
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Backgound check will be performed in compliance with the Fair Credit Reporting Act.
Job openings are posted for a minimum of three calendar days. The review and selection process may begin as early as the eighth day after posting. This opening may be removed from posting boards and filled anytime after the minimum posting period has ended.
U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.