06.09.16 27:26 The eScience Appliance: Provisioning an Inexpensive Bottom-Up Cyberinfrastructure
eScience: Data Interoperability - The eScience Appliance: Provisioning an Inexpensive Bottom-Up Cyberinfrastructure
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06.09.16 32:31 Bio Tools - Microsoft Computational Finance Server as a Platform for Computational Biology
eScience: Bio Tools - Microsoft Computational Finance Server as a Platform for Computational BiologyΓÇôA Pilot Application
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06.09.16 28:02 Dynamic Generation of Interactive Ecosystem Report Cards Using Silverlight and Virtual Earth
eScience: Data Interoperability - Dynamic Generation of Interactive Ecosystem Report Cards Using Silverlight and Virtual Earth
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06.09.16 26:17 Data Interoperability - SciScope : A Data Discovery and Retrieval Tool for Environmental Science
eScience: Data Interoperability - SciScope : A Data Discovery and Retrieval Tool for Environmental Science
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06.09.16 32:34 eScience: Bio Tools - Publication and Consumption of caBIG Data Services using .NET
Microsoft Research – 6 сентября 2016, 18:21
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06.09.16 34:34 eScience: Data Visualization - On-the-fly Visualization of Scientific Geospatial Data Using Wavelets
Microsoft Research – 6 сентября 2016, 18:21
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06.09.16 24:23 eScience: Bio Tools - BioMashups: The New World of Exploratory Bioinformatics?
Microsoft Research – 6 сентября 2016, 18:21
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06.09.16 26:50 eScience: Bio Tools - Supporting Life Scientists via End User Programming
Microsoft Research – 6 сентября 2016, 18:21
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06.09.16 2:05:24 eScience: Birds of a Feather Session - Semantics for eScience
Susie Stephens (Keynote) - Kristin Tolle - Mark Wilkinson - Madhusudhan Govindaraju - Yong Liu - Mohammed Hassan Haji - Michael Towsey - Deborah McGuinness - Jeremy Gibbons - Robert McGrath
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06.09.16 24:01 Querying and Visualizing Data Cube in Mathematica for Environmental Science Applications
eScience: Data Visualization - Querying and Visualizing Data Cube in Mathematica for Environmental Science Applications
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06.09.16 35:21 Large-Scale GPU Accelerated Windows HPC Clusters & Advanced Bioinformatics and Structural Proteomics
eScience: Large Scale Data Analysis - HPC-GPU:Large-Scale GPU Accelerated Windows HPC Clusters and its Advanced Bioinformatics and Structural Proteomics
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06.09.16 28:42 eScience: Large Scale Data Analysis - GrayWulf: Petascale Data-Intensive Computing for eScience
Microsoft Research – 6 сентября 2016, 18:18
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06.09.16 2:04:40 eScience Tutorial: A Virtual Research Environment and a Research-Output Repository Platform
Microsoft Research – 6 сентября 2016, 18:18
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06.09.16 52:10 eScience: Opening Keynote - The CARMEN Science Cloud - Paul Watson, Professor, Newcastle University
Microsoft Research – 6 сентября 2016, 18:18
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06.09.16 2:05:24 eScience Tutorial: Cloud Computing ΓÇô A Technical Overview
Microsoft Research – 6 сентября 2016, 18:18
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06.09.16 1:51:52 eScience Tutorial: Trident, A Scientific Workflow Workbench for Data Intensive Computing
Microsoft Research – 6 сентября 2016, 18:18
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06.09.16 42:29 Simplifying the Design of Workflows for Large-Scale Data Exploration and Visualization
eScience: Data Visualization - Simplifying the Design of Workflows for Large-Scale Data Exploration and Visualization
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06.09.16 32:22 eScience: Large Scale Data Analysis - Pan-STARRS: Learning to Ride the Data Tsunami
Microsoft Research – 6 сентября 2016, 18:17
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06.09.16 18:22 GPU-Based Interactive Visualization of Billion Point Cosmological Simulations
eScience: Large Scale Data Analysis - GPU-Based Interactive Visualization of Billion Point Cosmological Simulations
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06.09.16 30:47 eScience: Simulation and Modeling - Processes and Constraints in Scientific Model Construction
Microsoft Research – 6 сентября 2016, 18:15
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06.09.16 1:38:00 eScience Tutorial: Windows HPC Server 2008
Microsoft Research – 6 сентября 2016, 18:15
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06.09.16 25:06 eScience: Simulation and Modeling - Development of a 3D Stomach Model for Surgical Planning
Microsoft Research – 6 сентября 2016, 18:15
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06.09.16 26:05 eScience: Sensor Data - SenseWeb: Sharing and Browsing Environ-mental Changes in Real-time
Microsoft Research – 6 сентября 2016, 18:15
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06.09.16 1:25:36 Throw out your textbooks: Games are the future of learning.
The new NYU Games for Learning Institute (G4LI), a collaboration between seven universities and Microsoft Research, is dedicated to advancing the design, use, and evaluation of computer games in
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06.09.16 29:37 eScience: Sensor Data - A Data Collaboration on Portal to Support Global Carbon-Flux Analysis
Microsoft Research – 6 сентября 2016, 18:15
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06.09.16 27:13 Sensor Data - Smart Shoe for Balance Fall Risk Assessment and Applications in Wireless Health
eScience: Sensor Data - Smart Shoe for Balance Fall Risk Assessment and Applications in Wireless Health
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06.09.16 20:09 Mitigating the Energy Crisis using Simulation for Enhanced Oil Recovery: Analyzing Oil Fields
eScience: Simulation and Modeling - Mitigating the Energy Crisis using Simulation for Enhanced Oil Recovery: Analyzing Oil Fields Grain by Grain
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06.09.16 22:43 eScience: Sensor Data - Deploying Advanced Wireless Sensor Networks for Ecological Monitoring
Microsoft Research – 6 сентября 2016, 18:14
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06.09.16 34:15 eScience: Genomics - Harnessing the World's Computers to Hunt for Disease-provoking Genes
Microsoft Research – 6 сентября 2016, 18:14
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