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Upcoming NIMBioS Tutorials Application Deadline Meeting Date
The Search for Selection Jun 18-22, 2018 TBA

NIMBioS Tutorial Archive Meeting Date
Accelerator Tutorial: Phylogenetic Analysis Using RevBayes Aug 7-11, 2017
Uncertainty Quantification for Biological Models Jun 26-28, 2017
Evolutionary Quantitative Genetics 2016 Aug 8-12, 2016
Game Theoretical Modeling of Evolution in Structured Populations Apr 25-27, 2016
Evolutionary Quantitative Genetics 2015 Aug 10-15, 2015
NIMBioS/SAMSI/ESA Graduate Workshop/Tutorial: Current Issues in Statistical Ecology Apr 15-17, 2015
Using R for HPC (NIMBioS/XSEDE/NICS) Feb 27, 2015
Evolutionary Quantitative Genetics Aug 4-9, 2014
A BioQUEST Workshop at NIMBioS - Biology by Numbers: Bringing Math to the High School Biology Classroom (2014) Jul 23-25, 2014
Algebraic and Discrete Biological Models for Undergraduate Courses Jun 18-20, 2014
Parameter Estimation for Dynamic Biological Models May 19-21, 2014
Computing in the Cloud: What Every Computational Life Scientist Should Know April 6-8, 2014
Mathematical Modeling for the Cell Biology Researcher and Educator April 8-10, 2013
Using bioinformatics data and tools to engage students in problem solving: A curriculum development workshop. Co-hosted by SCALE-IT and NIMBioS Jan 7-10, 2013
Curriculum Development Faculty Workshop Jan 12-14, 2012
Multi-cell, Multi-scale Modeling May 18-21, 2011
Migration from the Desktop: HPC application of R and other codes for biological research May 9-11, 2011
Stochastic Modeling in Biology Mar 16-18, 2011
High Performance Computing for Phylogenetics Oct 13-15, 2010
Graph Theory and Biological Networks Aug 16-18, 2010
Computational Biology Curriculum Development Jul 6-9, 2010
Optimal Control and Optimization for Biologists Dec 15-17, 2009
Training the Trainers: High-Performance Computing Tutorial for Computational Science Professionals Collaborating with Biologists Mar 16-18, 2009


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NSF logo. NIMBioS is sponsored by the National Science Foundation through NSF Award #DBI-1300426, with additional support from The University of Tennessee, Knoxville. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
 
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