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using X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based approaches to efficient analysis of the vast data amounts generated in the scattering
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areas: scientific programming and data analysis (e.g., Python, R, C++, MATLAB), computational modeling, imaging and sensor data processing, bioinformatics, systems biology, or biophysics Familiarity with
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Description For our location in Hamburg we are seeking: PhD student for information field theory and ptychography Limited: 3 years | Starting date: earliest possible | ID: FSDO017/2025 | Deadline
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interdisciplinary approaches and methods to study biomolecular condensates. The intrinsically interdisciplinary nature of this field poses particular challenges—especially in establishing a shared scientific data
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/div) The central task of the PRIDAS is developing and providing data science support services, processing and analysis methods, as well as management of highly complex multimodal data. Our research with
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on performance and project needs. **Qualifications** • For Doctoral Candidates: Master’s degree in Computer Science, Information Systems, or Mathematics. **Applicants must demonstrate:** • An excellent academic
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Description The Munich School for Data Science (MUDS) is a joint initiative of Helmholtz Munich, Helmholtz Institute for RNA-based Infection Research (HIRI), and the German Aerospace Center (DLR
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microscopy and traction force microcopy, as well as data analysis, development of theoretical models, and preparation of data for presentations and publications. We are looking for a motivated candidate, who
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about their climate impact. Tasks: Research Objectives: Definition of a suitable interface region based on the results from other IRP. Numerical analysis of the emission propagation in the near field
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influence. Tasks: Research Objectives: Definition of a suitable interface region based on the results from other IRP. Numerical analysis of the plume propagation in the near field of the nozzle outlet