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Research Experience for Undergraduates (Summer 2017)

Research Experience for Undergraduates (Summer 2017)

The Beckstein Lab offers a fully funded ten-week research program in computational biophysics for a highly motivated undergraduate student. This is a NSF-sponsored Research Experience for Undergraduates (REU). Deadline for applications is May 5, 2017.

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Research Experience for Undergraduates (Summer 2016)

Research Experience for Undergraduates (Summer 2016)

The Beckstein Lab offers a fully funded ten-week research program in computational biophysics for a highly motivated undergraduate student. This is a NSF-sponsored Research Experience for Undergraduates. Deadline for applications is May 30, 2016.

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Blue Waters Graduate Fellowship for Sean Seyler

Blue Waters Graduate Fellowship for Sean Seyler

Graduate student Sean Seyler was awarded a 2016 Blue Waters Graduate Fellowship to carry out research that makes use of the Blue Waters Petascale Supercomputer.

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Sean Seyler selected to participate in the 66th Lindau Nobel Laureate Meeting

Sean Seyler selected to participate in the 66th Lindau Nobel Laureate Meeting

Graduate student Sean Seyler was selected to represent ASU in the U.S. delegation to the 66th Lindau Nobel Laureate Meeting in Lindau, Germany. The theme of the 66th meeting in 2016 is Physics.

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BioXFEL BioVizSim Village: Experiencing Molecules

BioXFEL BioVizSim Village: Experiencing Molecules

As part of the BioXFEL outreach program at ASU three highschool students and one undergraduate student worked in the Lab in the “BioVizSim Village” for ten days on the Experiencing Molecules Project.

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Research Experience for Undergraduates (Summer 2015)

Research Experience for Undergraduates (Summer 2015)

The Beckstein Lab offers a fully funded ten-week research program in computational biophysics for a highly motivated undergraduate student. This is a NSF-sponsored Research Experience for Undergraduates. Deadline for applications is May 31, 2015.

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Middleware and High Performance Analytics Libraries for Scalable Data Science

Middleware and High Performance Analytics Libraries for Scalable Data Science

The Lab is a partner on the large NSF-sponsored SPIDAL project (“Middleware and High Performance Analytics Libraries for Scalable Data Science”) that was announced as part of a larger program for Laying the groundwork for data-driven science. The lab joins with partners at Indiana University, Emory University, Rutgers University, University of Kansas, University of Utah and Virginia Tech.

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