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University professorship in the field of “Theoretical Foundations of Deep Learning” (W3, IV-521/25)
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Database Systems and Information Management
Machine Learning
Big Data Analytics for Earth Observation
Explainable Machine Learning in Medicine
Probabilistic Modeling and Inference
Machine Learning for Molecular Simulation in Quantum Chemistry
Distributed Data Stream Processing in Heterogeneous Environments
Intelligent Biomedical Sensing
Machine Learning and Security
Big Data Engineering
Adaptive Monitoring and Fault Tolerance in Critical Resource-Constrained IoT-Sensor-Systems
Machine Learning on Large Dynamic Graphs
Unified Processing Model for Distributed Stream Reasoning
Data Engineering in Earth Observation
Compliant Data Processing in Geo-distributed Environments
Scalable Image Search and Retrieval in Compressed Earth Observation Data Archives
Cross-lingual Information Extraction for the Assessment and Prevention of Adverse Drug Reactions
Auditable & Reproducible Stream Processing with Blockchain Technologies
Machine Learning and Data Quality
Information Theoretic Limits of Deep Learning
Object Detection and Analysis in Historical Sources
CO2 efficient federated learning
Historical scientific texts: Machine Learning-assisted genealogies
LungCAIRE - Multimodal Data Management
Data Integration and Data Preparation
Management of Data Science Processes
Medical Informatics
FakeXplain – Development of transparent and meaningful explanations in the context of disinformation detection
Physics-Driven Generative Modeling: Scalable and Interpretable Solutions for Lattice Systems in Theoretical Physics
Forget Me Now
IlluminateCardio
Analyse von intraoperativen Sensordatenströmen zur Unterstützung minimalinvasiver chirurgischer Eingriffe
Examining Context Effects in Humans and Machine Learning Models
Scalable Image Search and Retrieval in Compressed Earth Observation Data Archives
Machine Learning in Pathology
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