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CASE
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Research
Grupo de Investigación / Área
Ab-Initio Electronic Structure Methods
Advanced docking strategies
Aerosol data assimilation
Aerosol-radiation-cloud interactions
Agent-Based Models
Agriculture and water management services
AI Experts
Air quality
Algorithms for genomics data compression
Alya - High Performance Computational Mechanics
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Cultural Evolution
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Data and Diagnostics Team
Data Placement for Heterogeneous Memory Systems
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Deep-Learning and HPC
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Distributed Computing Library
Distributed Object Management
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Docking for interactomics and personalized medicine
Domain Specific Languages
Dynamic resource management in HPC
Earthquake Simulation
eDrug: interactive drug design
Electromagnetic Modeling and Inversion
Electronic transport
Emission modelling
Energy efficiency management for Data Centers
Energy-aware and Virtualisation Technologies
Enzymatic Catalysis and Protein Engineering
EUDAT
Forecast quality assessment of seasonal-to-decadal predictions
Functional consequences of genetics variants
Generic Lightweight Threads
Genetics of Complex Diseases
Hardware Support for Big Data
High performance storage for interactive Big Data analysis
High Programming Productivity for Accelerators
High-performance IO and storage
HPC Frameworks
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HPC Software Optimization
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Improving Virtual Memory
Industrial artificial intelligence and digital twins
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Interactive data visualization
Internet of Things and Stream Processing
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Land-atmosphere coupling and predictability
Learning Analytics
Linear Algebra and Math Libraries
MareNostrum
Memory hierarchy for GPU acceleration
Memory systems for HPC
Mesh generation and adaptivity
Message Passing Interface (MPI)
Microscale wind simulations and wind resource assessment
Microserver architectures and system software
Mineral dust - AXA Chair on Sand and Dust Storms
Mobile and embedded-based HPC
Models and Workflows Team
Multiphysics
Natural & Social Hazards (NaSH)
Network Biology
Neural networks for data-streams
New approaches to the prediction of protein structure and interactions
NoSQL technologies applied to Life Sciences
Numerical Methods
Ocean Biogeochemistry and Climate Feedbacks
Ocean forecasting
OpenMP Extensions
PELE: Monte Carlo methods for protein/DNA-ligand interactions
Performance Analytics
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Personalized Medicine Initiative
Policy analysis
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Predictable Parallel Computing
Preemptive multiprogramming on GPUs
Probabilistic Real Time Systems
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Quantum Algorithms
Reduced Order Methods in HPC
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Resilient architecture and runtimes
Respiratory system
Runtime aware architectures
Scientific and Social impact
Scientific Visualization and storytelling
Sea Ice Variability, Prediction and Impacts
Seasonal prediction and attribution of extreme events
Seismic hazard, seismic vulnerability and seismic risk
Smart and resilient cities
Software development for protein-protein interactions
SOftware research and development vehicles for New ARchitectures (SONAR)
Solar energy services
Supercomputing for Artificial Intelligence
Teaching Methodologies for Technology Rich Environments
Tensor Networks
The OmpSs Programming Model
Time-predictable parallel programming models
Towards complex and intelligent workflow programming for Distributed Computing
Tropical Cyclones
Troposphere-stratosphere coupling
Urban air quality modelling
Urban Data Science
Urban-scale Atmospheric Dispersal Modeling
Volcanic ash
Wind energy services
Workflow environments for Scientific Applications
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Lidia Gurgel Neves Hora
Lidia Gurgel Neves Hora
LIDIA
GURGEL NEVES HORA
Position:
VISITOR
Barcelona Supercomputing Center - Centro Nacional de Supercomputación
Life Sciences - Language Technologies
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