Clustering and Visualization of DNA Electrical Signatures

Provider(s):
Eastern Washington University and University of Washington

Description:
Students should be able to develop simple Python code and develop effective strategies for data visualization.
​Students may also need to apply data clustering methods prior to visualization.
This project has weekly deadlines and requires frequent meetings with a mentor.
This project is part of an informal IEEE Nanotechnology Council Summer Internship.

Qualifications Required:
Suited for students with an interest in scientific computation and effective representation of data.
Prior exposure to statistics/machine learning preferred, but not necessary.
Must be able to attend possible weekly in-person meetings in UW-Seattle.

​Location:
Seattle, WA
Hours per week:
30+
Duration of internship:
8-10 weeks
Stipend:
None.
Timeline:
To be discussed with the provider during interview process

Eligibility:

High school students currently in grades 9-12 in the USA can apply.

Sorry, we cannot support international students. Please read Read Me sections in the website for more details