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Machine learning [88]
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Statistical analysis and modeling of cellular processes
Thibault Lagache
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PvSTATEM: Serological testing & treatment of vivax malaria
Michael White
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Jeremie Kalfon
Machine Learning for integrative genomics
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Deep Learning group
Anđela Davidović
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ERC Consolidator Grant PrApEDoC: Predicting Apoptosis Engagement Downstream of Caspasese
Romain Levayer
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Effect of mood states on neural connectome
Mariana Alonso
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Ernest Mordret
Molecular diversity of microbes
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Array
The microbial communities that live with us, the microbiota, are now understood to be a key component of our being, playing roles in metabolism, immunity and behavior. More than a decade has elapsed since […]
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Aude Bernheim
Molecular diversity of microbes
Aude Bernheim is a microbiologist interested in how bacteria fight off their viruses. She did her PhD in the Pasteur Institute in Paris studying the evolution of CRISPR-Cas systems and her post-doc in the […]
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Remi Trimbour
Machine Learning for integrative genomics
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Laura Cantini
Machine Learning for integrative genomics
Laura Cantini is a G5 junior group leader heading the Machine Learning for Integrative Genomics group. Mathematician by training, Laura works at the interphase of machine learning and genomics. Due to the advent of […]
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Eloi Vincent
Architecture and Dynamics of Biological Macromolecules
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Mareike Buhl
Center for Research and Innovation in Human Audiology
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Juliette Meyer
Expertise group : Stats
I was recruited at Pasteur Institute in Octobrer 2022 as biostatistician of the Statistical Group of the Hub. My main areas of expertise is statistical modeling especially of high-dimensional data. Before joining Pasteur, I […]
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Gaëlle Letort
Dynamics of Developmental Decisions in Drosophila
Gaëlle Letort gratuated from the applied mathematics and computer science engineering school ENSIMAG. She did a phD on numerical simulations of cytoskeleton auto-organisation at the CEA of Grenoble. She worked for a few months […]