Data Science Projects
The scope of these Collaborative Data Science Projects is representative of the diversity of the research undertaken within the ETH Domain, with the University of Bern, and with external partners.
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DS4MS
Completed
Data Science for Multiplexing Spectrometers
Large-scale Infrastructures
CHEMSPEC
Completed
Cost-effective chemical speciation monitoring of particulate matter air pollution
Energy, Climate & Environment
DATSSFLOW
Completed
Data Science and Mass Movement Seismology: Towards the Next Generation of Debris Flow Warning
Energy, Climate & Environment
WATRES
Completed
A Data-Driven approach to estimate WATershed RESponses
Energy, Climate & Environment
CLIMIS4AVAL
Completed
Real-time cleansing of snow and weather data for operational avalanche forecasting
Energy, Climate & Environment
PHENO-MINE
Completed
Pheno-Mine: Extracting dynamic ideotypes from seasonal image time series of wheat taken in the field
Energy, Climate & Environment
DrSCS
Completed
Predicting subclonal drug response from single-cell sequencing for precision oncology
Biomedical Data Science
MMAI-MS
Completed
Multi-Modal Analysis and Integration of MS Patient Data
Biomedical Data Science
FLBI
In Progress
Feature Learning for Bayesian Inference
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LAMP
Completed
Lensless Actinic Metrology for EUV Photomasks
Large-scale Infrastructures
LEAP
Completed
LEArning to Print – towards data-driven real-time predictions for additive manufacturing
Engineering
DNAi
Completed
High throughput eDNA processing using artificial intelligence for ecosystem monitoring
Energy, Climate & Environment
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