Training and Experimentation in Computational Biology

Fri, 20 Jan 2017 13:52:45 -0500

Title: Training and Experimentation in Computational Biology (TECBio): "Simulation and Visualization of Biological Systems at Multiple Scales"

TECBio: "Simulation and Visualization of Biological Systems at Multiple Scales" is an NSF-funded, 10-week, summer, REU program that provides a challenging graduate-level research experience in computational biology. In addition to performing cutting-edge research, TECBio students will also participate in other academic activities, such as classes, seminars, and discussions, while experiencing the various social and cultural activities available in Pittsburgh - America's most livable city.

Students will start their research immediately at the beginning of the TECBio program. Within the first two weeks, students will also attend lectures and participate in computer laboratory sessions that will give them exposure to and practical experience in a comprehensive and interdisciplinary breadth of topics. The final week will be devoted to student presentations. Weekly seminars and journal clubs will also be hosted.

The major focus of the TECBio REU @ Pitt is to train, prepare, and support the next generation of scientists, who will be among the leaders in the interdisciplinary fields of computational and systems biology and other emerging STEM (Science, Technology, Engineering, and Mathematics) fields, by offering a fun and challenging graduate-level research and training experience.

The program runs from May 22 - July 28, 2017

The deadline to apply is FEBRUARY 13

Benefits include:

a $5,500 stipend

housing in Pennsylvania Hall,

reimbursement of travel expenses up to $500,

a University of Pittsburgh email account,

campus-wide network access, and access to computing facilities.

Suggested majors include (but are not limited to):

Biological Sciences

Computer Science & Electrical Engineering

Mathematics & Statistics

Bioengineering

Biochemistry & Molecular Biology

Chemistry and Biochemistry

Biophysics

Structural Biology

Physics

Chemical Engineering

Bioinformatics & Computational Biology

Emergent Properties

Neuroscience