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2023-2027
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CASE
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Life Sciences
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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
Air quality
Algorithms for genomics data compression
Alya - High Performance Computational Mechanics
Application optimization for GPU acceleration
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Cancer genomics
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Data Placement for Heterogeneous Memory Systems
Data-Center Optimization
Data-Centric Architectures
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Deep-Learning and HPC
Dependable and power-efficient real-time systems
Distributed Object Management
DLB: Dynamic Load Balancing
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
High-performance IO
HPC Frameworks
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HPC Software Optimization
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Human Computer Interaction
Improving Virtual Memory
Insurance Services
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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
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
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OpenMP Extensions
PELE: Monte Carlo methods for protein/DNA-ligand interactions
Performance Analytics
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Personalized Medicine Initiative
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Predictable Parallel Computing
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Probabilistic Real Time Systems
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Reduced Order Methods in HPC
RES
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Respiratory system
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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
Tools for Distributed Data Science
Towards complex and intelligent workflow programming for Distributed Computing
Tropical Cyclones
Troposphere-stratosphere coupling
Urban air quality modelling
Urban-scale Atmospheric Dispersal Modeling
Volcanic ash
Wind energy services
Workflow environments for Scientific Applications
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Muhammad Usman
Muhammad Usman
MUHAMMAD
USMAN
Position:
JUNIOR RESEARCH ENGINEER
Barcelona Supercomputing Center - Centro Nacional de Supercomputación
Computer Sciences - Accelerators and Communications for High Performance Computing
email:
muhammad [dot] usman
[at]
bsc [dot] es
Tel:
900000000
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