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Research Projects

MarDATA Cohort 2021

projects currently open for application:

Bremerhaven/Bremen

Ice sheet geophysical data science
Palaeogenomic network analyses
Machine-learning to define and characterize ocean provinces
Digital Cores: Paleo-Climate field reconstruction using multi-fidelity machine learning
Automated ocean data quality control with deep learning
Analysis of ecological time-series using mathematical Tools
West Antarctic Ice Sheet - Surface (WAIS-surface Project)

Kiel (coming soon)

MarDATA Cohort 2019

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
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

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