Grant RDF
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- Banach Spaces and Graphs: Geometric Interactions and Applications
- Banach Spaces: Theory and Applications
- Banach Spaces: Theory and Applications
- Banach Spaces: Theory and Applications
- Baseline Survey of the Lower Xingu River Rapids, Brazil: a Highly Diverse, Globally Unique, and Immediately Imperiled Ecosystem
- Bayesian and Regularization Methods for Spatial Homogeneity Pursuit with Large Datasets
- Bayesian inference for high-dimensional covariance matrices and tensors
- Bayesian Uncertainty Quantification In Predictions of Flows In Highly Heterogeneous Media and Its Applications To the Co2 Sequestration
- BD Spokes: SPOKE: South: Collaborative: Smart Grids Big Data
- Being Female and an Engineer in Qatar
- Ben’s Green Drakkoman Fund St. Baldrick’s Research Grant: Evaluation of HER2 inhibition to block metastatic progression in OS
- Benchmarking and Improving Makerspaces Using Quantitative Network Analysis
- Beneficial Use of Residuals to Improve Soil Health and Protect Public, and Ecosystem Health
- Best Viewpoints for External Robots or Sensors Assisting Other Robots
- Beyond incompressible phenomenology: mixing in compressible turbulent flows
- BFP 15 - Tanzania - Mengele - FS
- BFP FY16 Malawi Malaidza TAMU
- BFP FY16 Uganda OBA Brucellosis TAMU
- BFP15 Bangladesh Selim_Animal Nutri@TAMU
- BFP15 India (Darmala) Animal Nutrition @ TAMU
- BFP16 Thailand (Nonejuie, G) MarkInfo@TAMU
- BFP17 Vietnam (CHAU,A)Biotech@TAMU
- BFP19 Egypt (Anas)Biotechnology@TAMU
- BFP19 Masindi(South Africa)Bio-Tech@TAMU
- Biannual Meeting of the Society for Research on Biological Rhythms
- Bidirectional Regulatory Interactions Between Lymph Vessel and Adjacent Tissues
- Big city, big country road show: Recruiting non-traditional and underrepresented students into the food and agricultural sciences workforce.
- Big Data Synchrophasor Monitoring and Analytics for Resiliency Tracking (BDSMART)
- BIGDATA: Collaborative Research: F: Efficient and Exact Methods for Big Data Reduction
- BIGDATA: IA: Collaborative Research: From Bytes to Watts - A Data Science Solution to Improve Wind Energy Reliability and Operation