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Grupo de Investigación / Área
Ab-Initio Electronic Structure Methods
Advanced docking strategies
Aerosol data assimilation
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Agriculture and water management services
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Air quality
Algorithms for genomics data compression
Alya - High Performance Computational Mechanics
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Deep-Learning and HPC
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Docking for interactomics and personalized medicine
Domain Specific Languages
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Earthquake Simulation
eDrug: interactive drug design
Electromagnetic Modeling and Inversion
Electronic transport
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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
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Industrial artificial intelligence and digital twins
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Land-atmosphere coupling and predictability
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Memory systems for HPC
Mesh generation and adaptivity
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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
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
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OpenMP Extensions
PELE: Monte Carlo methods for protein/DNA-ligand interactions
Performance Analytics
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Predictable Parallel Computing
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Probabilistic Real Time Systems
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Scientific and Social impact
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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
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
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Workflow environments for Scientific Applications
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Tasim Kabir
Tasim Kabir
TASIM
KABIR
Position:
VISITOR
Barcelona Supercomputing Center - Centro Nacional de Supercomputación
CASE - Propulsion Technologies Group
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