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Created: Monday, August 27 2012 11:03
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Last Updated: Monday, April 28 2014 12:22
A DSC undergraduate student attended a two-week high energy density science summer school in Traverse City, Michigan. Ryan Learn was an attendee at the Foundations of High Energy Density Physics summer school at Northwestern Michigan College from August 6th through August 20th. The last time the course was offered in 2004, and Learn was glad for the opportunity to participate.
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Created: Thursday, August 16 2012 09:39
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Last Updated: Monday, April 28 2014 12:22
Professor Michael Navon has been invited by the Institute of Atmospheric Physics, Chinese Academy of Sciences to attend the IAP-AMCG workshop on ocean modeling. Deputy-Director Jiang Zhu extended the invitation on behalf of the institute. The workshop will take place August 16 – 25, 2012 in Beijing, China.
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Created: Tuesday, July 10 2012 10:18
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Last Updated: Monday, April 28 2014 12:22
SC Assistant Professor Alan Lemmon received one of only six awards through FSU’s biannual Grant Assistance Program (GAP).
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Created: Friday, June 01 2012 13:59
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Last Updated: Monday, April 28 2014 12:22
SC Associate Professor Ming Ye has been selected as a 2012 recipient of the Department of Energy Early Career Award for his proposal, Computational Bayesian Framework for Quantification and Reduction of Predictive Uncertainty in Groundwater Reactive Transport Modeling. Ye was one of only 68 selectees chosen based on peer review of over 850 proposals and the only person selected for the award from FSU.
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Created: Wednesday, May 23 2012 13:08
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Last Updated: Monday, April 28 2014 12:22
SC Ph.D. student Michelle Perry has been selected to attend the European-US HPC Summer School in Dublin, Ireland, June 24-28, 2012. The award was based on Perry’s research which focuses on constructing and optimizing Bayesian Neural Networks and their application to High Energy Physics data. By attending the week-long seminar, Perry will augment her knowledge of her own research area and become better acquainted with other research areas in computational science.
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