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Adaptive simulation for components of a synchrotron

Advanced On- and Off-line reconstruction methods in Neutrino Astronomy

AI-based reconstruction of spectra and images

Artificial intelligence & machine learning for data monitoring and data analysis for reflectivity data, coherent X-ray diffraction and for future XPCS applications at liquid interfaces

Artificial intelligence and machine learning tools for time-reolved and tomographic data in materials science and catalysis

Artificial neural networks and deep learning methods for use in storage ring experiments with highly charged ions

Data Evaluation Group

Data reduction and data analysis for neutron and x-ray scattering

Dealing with Systematic Uncertainties in Machine Learning

Development and optimization of algorithms with modern technologies to maximize the physics output extracted from data

High resolution X ray imaging with large field of view: How to reproducibly and reliably reduce big data without loss of information and manage experiments and metadata with aim of ANN/ML

Identifying and characterizing spectral lines

Information field theory

Insights into physics by AI & ML analysis and visualisation of complex data

Joint inference of calibration and signal

Large Scale and FAIR Data Management / Neuroevolution

Machine Learning based Charged Particle Tracking

ML methods for the solution of biological macromolecules

ML on FPGAs for future DAQs

ML on FPGAs for real-time processing of detector data

Next generation v[f]ast data monitoring and control

NN decisions that are robust against systematic uncertainties in the NN feature space

Rapid online data evaluation for X-ray experiments

Ray-tracing and wave propagation

Real-time displaced vertex reconstruction on FPGAs

Reinforcement Learning for the Automation and Improvement of Large-Scale Facilities Operation

Speed improvements of MC Event Generators and Detector Simulations using Deep Neural Networks

Targeting and Tracking biological cells in microscopy time lapse videos be deep learnng algorithms

Teilchen- und Astroteilchenphysik: data-driven knowledge acquisition

Use of maschine learning to classify/interpret diffuse scattering

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