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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
Earth Sciences - Earth System Services Group
Earth Sciences - Emissions
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Earth Sciences - High Performance Computing for Earth Sciences
Earth Sciences - Knowledge Integration ES group
Extern - Extern people by Special Petition
Innovation and Business Development
Innovation and Business Development - Technology Transfer Office
InnovationBD - Technology Transfer Office
Institutional - Computational Social Sciences and Humanities
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Life Sciences
Life Sciences - Bioinformatics Coordination Unit
Life Sciences - Comparative Genomics
Life Sciences - Computational Biology Life Sciences Group
Life Sciences - Computational Genomics
Life Sciences - Electronic and Atomic Protein Modelling
Life Sciences - Genome Informatics
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Life Sciences - Language Technologies
Life Sciences - Life Sciences Scientific Coordination unit
Life Sciences - Machine Learning for Biomedical Research
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Life Sciences - Transcriptomics and Functional Genomics Lab
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Research
Grupo de Investigación / Área
Ab-Initio Electronic Structure Methods
Advanced docking strategies
Aerosol data assimilation
Aerosol-radiation-cloud interactions
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
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Atlantic Variability and Predictability
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Big Data Frameworks
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Blockchain Scalability and Sustainability
BSIT: Barcelona Subsurface Imaging Tools
Cancer genomics
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Climate Model Initialization and Data Assimilation
Combustion
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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
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
Distributed Object Management
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
High performance storage for interactive Big Data analysis
High Programming Productivity for Accelerators
High-performance IO and storage
HPC Frameworks
HPC Geophysical Applications
HPC Software Optimization
HPC Workflows
Improving Virtual Memory
Industrial artificial intelligence and digital twins
Insurance Services
Integration of Programming Models and Persistent Storage Systems
Interactive data visualization
Internet of Things and Stream Processing
Inverse Modelling
Land-atmosphere coupling and predictability
Learning Analytics
Linear Algebra and Math Libraries
MareNostrum
Memory hierarchy for GPU acceleration
Memory systems for HPC and AI
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
Performance Team
Personalized Medicine Initiative
Policy analysis
PRACE
Predictable Parallel Computing
Preemptive multiprogramming on GPUs
Probabilistic Real Time Systems
Provenance, Metadata and Reproducibility
Quantum Algorithms
Reduced Order Methods in HPC
RES
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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Marco Ruscone
Marco Ruscone
MARCO
RUSCONE
Position:
RECOGNISED RESEARCHER
Barcelona Supercomputing Center - Centro Nacional de Supercomputación
Life Sciences - Computational Biology Life Sciences Group
email:
marco [dot] ruscone
[at]
bsc [dot] es
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