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Advanced Statistical Methods in Neuroimaging and Genetics

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Advanced Training in Statistical Methods

Live 2-Week Course | April 15 - 26, 2024

Who should attend?

This course is geared toward individuals early in their research career, typically graduate students, postdoctoral fellow, and very junior faculty. We have also accepted exception undergraduate students. 

Learn more about the course

The University of Utah, with major funding from the National Institute on Neurological Disorders and Stroke (R25NS117281), is happy to announce this two-week course. The focus of this course is to learn advanced statistical methods applied to neuroimaging and genetics, within the context of biomarker discovery. This is not an introductory course, and will teach advanced topics of Bayesian methods in neuroimaging, network science in neuroimaging, statistical genetics, and multi-modal predictive modeling.

Course attendees are expected to already have experience with aspects of neuroimaging analysis and/or genetics. An innovation to our course is the additional 6-month follow-up, where attendees of the course have the opportunity to meet as a group with each lecturer for a 75-minute webinar-based workshop each month. This will allow course attendees to interact with the course faculty well after the two-week period. Additionally, the course attendees will have access to a slack help-line for questions surrounding implementation of methods.

Dates, Application Process, and Cost

To ensure the highest quality of instruction, the course is limited to approximately 25 attendees each year. Because of the limited size, attendance is by application only. In general, applicants must be a US citizen or permanent resident, though we do have the ability to accommodate 1 to 3 individuals that do not meet this criteria.

Course Dates

April 15 - 26, 2024

In-residence attendees should arrive April 14

View Course Syllabus


University Guest House & Conference Center

110 South Fort Douglas Blvd
Salt Lake City, UT 84113-5036

Guest House Website

Application Deadlines

Priority Deadline
Wednesday, November 1, 2023
Decisions will be made by Friday, December 15, 2023

Late Deadline
Friday, December 1, 2023
Decisions will be made by Friday, January 5, 2024

Application Closed

Course Cost

In-residence $2250 

There are a limited number of need-based travel awards available

More Details

Course Structure

The course will be taught April 15 - 26, 2024. It is structured with theoretical lectures that are paired with hands-on computer practical labs and tutorials. Days start at 8:30 am (US Mountain Time) and are expected to be 7 hours (with breaks). Some days have an additional evening guest lectureship.



If you have questions or need additional information, email our team at

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