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CASE
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Earth Sciences
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Earth Sciences - Climate Variability and Change
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Earth Sciences - Earth Data and Diagnostics
Earth Sciences - Earth Models and Workflows
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Earth Sciences - Knowledge Integration ES group
Extern - Extern people by Special Petition
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Institutional - Education And Training
Life Sciences
Life Sciences - Bioinformatics Coordination Unit
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Life Sciences - Computational Genomics
Life Sciences - Electronic and Atomic Protein Modelling
Life Sciences - Genome Informatics
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Life Sciences - Machine Learning for Biomedical Research
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Life Sciences - Social Link Analytics Life Sciences Group
Life Sciences - Transcriptomics and Functional Genomics Lab
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Research
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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
Application optimization for GPU acceleration
Applied Learning Methods
Art+Science driven innovation
Atlantic Variability and Predictability
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Bias development mechanisms
Big Data Frameworks
Biological data integration and management
Blockchain Scalability and Sustainability
BSIT: Barcelona Subsurface Imaging Tools
Cancer genomics
Cardiovascular system simulations
Climate Model Initialization and Data Assimilation
Combustion
Computational Earth Services
Computational Fluid Mechanics - Compressible Flows
Computational fluid mechanics - Incompressible flows
Computational infrastructures for biomolecular research
Computational Modeling for Fusion
Computational solid mechanics
COTS multicore real-time systems
Cultural Evolution
Curricula Development and Quality Assurance in Higher Education and Professional Training
Cyber-Physical Computing Systems
Data and Diagnostics Team
Data Placement for Heterogeneous Memory Systems
Data-Center Optimization
Data-Centric Architectures
Data-Driven Scientific Computing
Deep-Learning and HPC
Dependable and power-efficient real-time systems
Distributed Computing Library
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DLB: Dynamic Load Balancing
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
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High Programming Productivity for Accelerators
High-performance IO and storage
HPC Frameworks
HPC Geophysical Applications
HPC Software Optimization
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Improving Virtual Memory
Industrial artificial intelligence and digital twins
Insurance Services
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Interactive data visualization
Internet of Things and Stream Processing
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Learning Analytics
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MareNostrum
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Memory systems for HPC
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Microscale wind simulations and wind resource assessment
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Mineral dust - AXA Chair on Sand and Dust Storms
Mobile and embedded-based HPC
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Multiphysics
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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
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Reduced Order Methods in HPC
RES
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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
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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
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