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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DDForms
Completed
Data driven fast optimization of resonant metamaterial structures
Engineering
SMARTAIR
Completed
Self-guided Machine Learning Algorithms for Real-Time Assimilation, Interpolation and Rendering of Flow Data
Engineering
NLP
Completed
Narratives in Law and Politics: A Computational Linguistics Approach
Digital Administration
PolyNet
Completed
Exploring disease trajectories and outcome prediction using novel methods in network analysis and machine learning
Biomedical Data Science
4Real
Real-time urban pluvial flood forecasting
Energy, Climate & Environment
MLATEM
Machine Learning tools for Analytical Transmission Electron Microscopy
Chemistry, Biology, Physics
DLBIRHOUI
Completed
Deep Learning Based Image Reconstruction for Hybrid Optoacoustic and Ultrasound Imaging
Biomedical Data Science
BioDetect
Completed
Deep Learning for Biodiversity Detection and Classification
Energy, Climate & Environment
SenseDynamics
Completed
Predicting aerodynamics forces from sensor data
Engineering
EXPECT
Completed
EXtending the PrEdiCTability of the Atmosphere over Europe
Energy, Climate & Environment
COVID-19
Completed
Epidemic Forecasting
Biomedical Data Science
Large-scale Infrastructures
Digital Administration
DeepEphys
Completed
Using machine learning for biomarker discovery in human iPSC neuronal networks
Biomedical Data Science
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