![]() ![]() ![]() The student will work with the PI and existing graduate students to develop and test an MRI image processing pipeline for automated analysis of gastrointestinal MRI. ![]() Preference will be given to the students who are likely to extend the work to Fall 2021 or research for master thesis. As a temporary worker (or a summer intern), each student will be paid for on an hourly basis. Zhongming Liu) has multiple positions available for undergraduate and graduate students to work for research during Summer 2021. The Laboratory of Integrated Brain Imaging (PI: Dr. How to apply : Please email your cover letter describing your interest and fit for the position, CV, and a copy of your unofficial transcript to Daniel Romero ( ) and Elizabeth Bruch ( ).ĭeadline to apply : We will be reviewing applications as they come until the positions are filled. Experience teaching and/or delivering hands-on teaching materials for undergraduate courses is desirable but not required. Enthusiasm for developing innovative, hands-on educational materials is a must. Experience in Python is required the ideal candidate would have exposure to tools for doing social network analysis, machine learning, and/or text analysis and a strong interest in computational social science. Qualifications : We are looking for a graduate student from Computer Science, Information, Data Science, Quantitative Social Science, or some related area with relevant experience with data analysis or computational social science. You will be working closely with the faculty leads, as well as four undergraduate RAs who will be testing the modules, providing input on content, and otherwise assisting with course development. It will run through Fall semester and possibly Winter semester. The position will be funded through a GSRA position at 20 hours/week, which will cover tuition and stipend at standard rates. We are looking for a graduate student to assist us in developing Jupyter notebooks, lectures, and labs that introduce students to basic Python programming and CSS methods for text analysis, network analysis, and machine learning. Professors Bruch, Jacobs, and Romero are developing a Computational Social Science class for undergraduate students with little or no programming experience. COMPUTATIONAL SOCIAL SCIENCE COURSE DEVELOPMENT ![]()
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