Kiel
- Semantic Seafloor Mapping
- Navigation and Sensor Fusion for Automated Observation and Data Assimilation
- Developing bioinformatic tools for detecting low-frequency genetic variants in large marine (meta)genomic data sets
- A machine-learning approach for detection of mobile replicons in metagenomics
- Development of adapted Kernel Density Estimators for the calibration of marine biogeochemical models
- Automated Testing of Marine Data-Science Applications
- Cross-domain Marine Data Fusion: Discover Knowledge on Open Ocean Oxygen Minimum Zones
- Machine Learning for Petrophysical Predictions
- From Geological Text to Knowledge (GeoTeK): Investigation of scalable text mining methods for discovering and managing marine geological data
Bremerhaven/Bremen
- Application of neural networks to chemical systems in earth system modelling
- Machine learning for validation and interpretation of large-scale chemical data in the ocean
- Taking LTER HAUSGARTEN time-series analysis to a new level
- Reactive Control and Adaptive Sampling using an Autonomous Underwater Vehicle
- System analysis in climate data
- Monitoring a stressed ice-shelf: Machine learning algorithms to detect icequakes in 20 years of seismological records at Neumayer station, Antarctica
- Machine learning approaches in climate modelling
