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: Programming in Python and/or R Data science (e.g., tidyverse, pandas) Machine learning (e.g., scikit-learn) Deep learning (e.g., PyTorch, Keras3) (Optional) bio-signal processing and brain imaging (e.g., EEG
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propose to contribute to the optimization of this technology using experimental campaigns integrating new photodetectors, new pixels to measure the charge signal and new information processing methods in
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, or physics. • Background: knowledge in electronics, signal processing, bioelectromagnetics, numerical modelling. Experience with commercial or open-source numerical solvers (e.g., CST, Ansys, SIM4LIFE
Searches related to digital signal processing
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