Data Science Projects
Our Collaborative Data Science Projects represent the diversity of the research and innovation undertaken in data science and AI within the ETH Domain, with scientific partners and with private and public sector stakeholders.
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ML-ED
Completed
Increased spatial resolution in electron detectors through machine learning
Large-scale Infrastructures
Academia
DIMPEO
Completed
Detecting drought impacts on forests in earth observation data
Climate & Environment
Academia
FastPlasmaSim
In Progress
Acceleration of Free-boundary Grad-Shafranov codes using advanced numerical methods
Large-scale Infrastructures
Academia
CHIP
In Progress
MaCHIne-Learning-assisted Ptychographic nanotomography
Large-scale Infrastructures
Academia
EAGLE
In Progress
Enhanced understanding of Alpine mass movements Gathered through machine LEarning
Climate & Environment
Academia
DrSCS
Completed
Predicting subclonal drug response from single-cell sequencing for precision oncology
Health & Biomedical
Academia
MLfusion
In Progress
Machine Learning for Disruption Prediction in Tokamaks
Large-scale Infrastructures
Academia
RED-ML
Completed
Reduction of high volume experimental data using machine learning
Large-scale Infrastructures
Academia
DeepDown
Completed
Multivariate climate downscaling using deep learning models
Climate & Environment
Academia
EXPECTmine
Completed
Mining Toxicity and High Resolution Mass Spectrometry Data for Linking Exposures to Effects
Climate & Environment
Academia
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Our team of data scientists and professionals looks forward to engaging in impactful, results-driven collaborations with you.
