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Quantitative Biology Undergraduate Summer Research Program


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Academic Level:
For most summer research programs, this is your upcoming status as of the fall. Always check with the individual program's website for details.

Undergraduates - First Year
Undergraduates - Sophomore
Undergraduates - Junior

Note: this opportunity encourages applications from community college students.

Description:
The Quantitative Biology Undergraduate Summer Research Program offers summer research fellowships to undergraduates. This program allows undergraduate students majoring in biology, engineering, mathematics, statistics, or physics to participate in hands-on laboratory or computational research that applies mathematical concepts and methodology to understanding mechanisms in biology. If selected, leadership will match you with a faculty mentor.

Participants will be encouraged to attend activities such as, weekly workshops covering communication, design, ethics, teamwork, and entrepreneurship; a day trip to a local museum or Argonne National Laboratory; a presentation on applying to graduate school; and other cohort outings.

This program will be hosted again virtually in 2021 due to the uncertain nature of the COVID-19 pandemic. We successfully hosted our Summer 2020 program in a virtual format. In fact, two of the eight students continue to collaborate virtually with their research mentors through the academic year. All student projects will be computationally-based. The majority of projects will use coding languages MATLAB, R, and Python.

Participants in the program receive a taxable stipend of approximately $4,000. Travel, housing and meals are not supported by this program. Information on housing resources can be found on our website.

Participants give a 15-minute slide presentation, a 3-minute recorded video, or a poster presentation at the end of the program to the Center directors, investigators, scholars, and personnel.


Participating Institution(s):
(Click an institution to see all programs it hosts)
Northwestern University (Lead)

Program Materials:
 • Program Website 

This Program can be Described by:
Academic Disciplines:
Applied Mathematics
Bioinformatics & Genomics
Cellular Biology
Computational Sciences
Genetics & Genomics
Mathematics
Molecular Biology
Neuroscience
Physics
Statistics

Keywords:
Applied Physics
Applied Statistics
Developmental Biology
Differential Equations
Dynamical Systems
Life Sciences and Medicine
Quantitative Biology

Learn More and Apply!

This program is funded by:
National Science Foundation (NSF)


Page last updated 6/15/2021
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