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Research Areas 2025 (Call 2)
Physics
Computational nuclear physics
Computational Physics in Active Matter and Biological Systems
Deep Generative Models for Simulation of Energetic Particles through Dense Materials
Digital Twins in Proton Therapy
Facing the calculational bottleneck in high-energy physics
Human musculoskeletal models
Physics-based generative materials design
Quantum technology and artificial intelligence
Statistical and machine learning applications to inference in high-energy physics
DSTrain
>
Research Areas 2025 (Call 2)
>
Physics
Physics
Research Themes
Computational nuclear physics
Computational Physics in Active Matter and Biological Systems
Deep Generative Models for Simulation of Energetic Particles through Dense Materials
Digital Twins in Proton Therapy to Improve Cancer Treatment
Human musculoskeletal models
Physics-based generative materials design
Quantum technology and artificial intelligence
Statistical and machine learning applications to inference in high-energy physics
