DASHH
Data Science in Hamburg Helmholtz Graduate School for the Structure of Matter(DASHH)是亥姆霍兹联合会最近新成立的一个研究所,包括以下几个合作伙伴:
- Deutsches Elektronen Synchrotron (DESY)
- Universität Hamburg
- Technische Universität Hamburg
- Helmut Schmidt Universität
- Helmholtz Zentrum Gesthacht
- Helmholtz Zentrum für Infektionsforschung
- Max Planck Institute for the Structure and Dynamics of Matter
- European XFEL GmbH
在DASHH里,我们利用数据、计算机和应用数学科学来提高对自然的理解。我们的目标是培养未来一代的数据和信息科学家,以应对未来伴随大规模实验而来的科学挑战。
目前研究所进行的研究课题有:
- Multi-messenger X-ray Science – electron densities from a combined analysis of elastic x-ray scattering and x-ray emission data
- Next Generation Integrative Modeling for Cryo-Electron Microscopy
- High Performance Simulations of Next Generation Light Sources
- Search for Dark Matter with the CMS experiment via Neural Networks with Multi-Task Learning
- Distributed Self-Healing Infrastructure for High-Speed Scientific Data Processing
- A multi-purpose framework for efficient parallelized execution of charged particle tracking
- New Computational Methods for Serial Crystallography at X-ray Free Electron Lasers
DASHH目前正在招募出色的,高质量的带薪博士生,从事物理、化学、应用数学、计算机科学或者结构生物学方面的数据驱动研究。
另外需要选择研究课题:
1. Lensless X-Ray Microscopy at the Photon Limit
2. Workflows for reproducible computational science and data science
3. Cost-Effective High-Performance Simulation of Next Generation Light Sources
4. Scalable in situ visual analytics of multivariate volume data time series for materials science applications
5. Phase Retrieval in Imaging and Speech Enhancement
6. Dynamic protein pattern Recognition In Free-Electron Laser Experiments
7. Using Prior Knowledge for the Solution of Ill-Posed Inverse Problems in X-Ray Microscopy
8. Modeling x-ray superfluorescence by stochastic differential equations
9. Quantum Explorer - Pioneering Quantum Computing for Particle Physics and Computer Science
10. Model based simulation of dynamics in ferromagnetic nanostructures
11. Advanced Simulation Methodology for Optimizing Aerodynamic Lenses used for Single-Particle Diffractive Imaging
12. Water and Hydrocarbons in Confined Geometries: Correlating High Resolution X-ray Diffraction with Molecular Dynamics Simulation Data
13. Adaptive machine learning approximations for quantum simulations of hydrogen bond dynamics
14. Mixed Reality User Interfaces for Operating Particle Accelerators and Laser Facilities
15. Phase and Attenuation Retrieval for Propagation-Based Phase Contrast X-Ray Tomography