Nicolas Gensollen

SED Research Engineer at INRIA Paris.
Mostly working in the ARAMIS team, at the Paris Brain Institute.

[Clinica @clinica_run]

Want to work on Clinica?

We are hiring a developer to join our team at the Paris Brain Institute !

👉 More info and application :
https://t.co/i7WT5McTJA

@AramisLabParis @inria_paris @Gensollen_N @NinonBurgos @oliviercolliot

[Gael Varoquaux 🦋 @GaelVaroquaux]

Recrutement 🎉: ingénieur data science, projet commun @APHP / @inria pour valoriser l'Entrepot de Données de Santé: plus grosse base de données hospitalière en France 🩺
https://t.co/ZYFi7b0VqN

Python, machine-learning, data engineering, santé, génie logiciel. Rejoignez-nous!

[Olivier Grisel @ogrisel]

Our team at Inria Saclay is looking for a software engineer interested in developing a plugin system to allow for efficient GPU computing kernels for popular machine learning algorithms in scikit-learn (nearest neighbors, k-means, T-SNE...):
https://t.co/8XyzWfDxVp #job

[Parietal, INRIA @Parietal_INRIA]

We’re hiring ! https://t.co/0HHJfHks6P We're hiring a developer for t...

[Gael Varoquaux 🦋 @GaelVaroquaux]

Hiring an engineer and post-doc to simplify data science on dirty data

Join us to reinvent data-science tools: research and software at the intersection of database technology and deep learning
https://t.co/u9lFojklTC

It's an unconventional agenda, but one that I feel crucial!

[Hugo Richard @hr1ch3rd]

Accepted at #NeurIPS2021. We introduce Shared ICA : a novel ICA model for group studies. The likelihood of our model is in closed form and can be efficiently optimized. We show that it recovers meaningful shared components on fMRI and MEG data. 1/8

[News on MNE Software @mne_news]

📅 Office hour calendar!

👉 Online office hours are your chance to get in touch with the MNE-Python developers & ask any questions!

‼️ Next one: Friday, 15h UTC

😎 You can now subscribe to our public calendar so you don't miss these events anymore!

🌍 https://t.co/Kf5e5SE569

[Matplotlib @matplotlib]

We are incredibly excited to announce that we've been awarded a @NASA ROSES grant for open source tools, frameworks, and libraries to build on the CZI work, with a focus on improving unit support. This grant allows us to hire a second RSE, job posting should be up soonish! 🥳

[Andreas Mueller @amuellerml]

Please test our release candidate, it helps us to fix issues before releasing to a wider public. If you have a workflow relying on sklearn, try running it with the RC. If you have a library on top of sklearn, try running the tests, and tell us if anything breaks. Please! :)

[scikit-learn @scikit_learn]

We just put out a release candidate for the next release (version 1.0), with many new features, and you can test it by `pip install --pre scikit-learn`

[cvnlab @cvnlab]

NSD is here. The massive 7T fMRI dataset is now freely available on Amazon S3. Published paper to come soon. Pre-print: https://t.co/ckwMq24LlY More info: https://t.co/ItDgijuCwq

[Gael Varoquaux 🦋 @GaelVaroquaux]

Offre d'emploi: data scientist junior pour rejoindre l'équipe @scikit_learn à @inria et aider à la documentation et le MOOC
https://t.co/GWak2TzrqR

Une excellente manière de découvrir le derrière des rideaux pour l'apprentissage statistique et la science des données en Python

[Inria @Inria]

Tout savoir sur @scikit_learn, le 3e logiciel libre de #machinelearning le plus utilisé au monde 🚀 Du 18 mai au 14 juillet ses créateurs proposent leur MOOC en anglais et gratuit, pour apprendre à construire des modèles prédictifs !
📍 Inscriptions https://t.co/cceBPu4Zr9

[Institut DATAIA Paris-Saclay @InstitutDATAIA]

🔜 La prochaine session du #SéminairePalaisien se tiendra demain 🗓️ mardi 4 mai à 16h. Timothée Matthieu de l'@UnivParisSaclay nous parlera apprentissage automatique robuste. #MachineLearning #IA

Inscriptions 👉 https://t.co/O4M21sCToq

[Gael Varoquaux 🦋 @GaelVaroquaux]

Coming up soon: a mooc to learn machine learning in Python with @scikit_learn
https://t.co/mkf8g2x44x

8 weeks, 4.5Hrs/wk, from zero to hero in machine learning: from knowing only basic Python to understanding ML

Brought to you by @InriaLearnLab @sklearn_inria & @Inria_Academy

[Matplotlib @matplotlib]

New release! 3.4 has all sorts of goodness, including:
* Subfigures, supx/supylabel
* Centered norm/FuncNorm
* stairs plot and StepPatch
* autolabeling & hatch list for bar chart,
* RangeSlider widget
* 3D panning, stem, error bar
Check out the whole set: https://t.co/IBkDDXblbv

[News on MNE Software @mne_news]

🥳 MNE-BIDS 0.7 has been released! 🥳

It brings many improvements in reading & writing @BIDSstandard data, & fixes numerous bugs.

#EEG data processing much smoother now!

Share your experiences using MNE-BIDS: What should we work on next? #Python #MEG

https://t.co/syxCFVeWAH

[Denis A. Engemann @dngman]

Come to Paris and work with us! @agramfort and I are looking for a talented postdoc to join our team at @Inria_Saclay @Parietal_INRIA and use machine learning for building better predictive models of brain health #MEG #EEG 👇🏿👇👇🏽 https://t.co/O58AeJ4hdX

[Centre Inria de Saclay @Inria_Saclay]

⚠️ J-2 avant la fin des inscriptions au module de formation @Inria_Academy "Introduction à l’apprentissage statistique avec @scikit_learn", la librairie #opensource de référence du #MachineLearning, par @LoicEsteve.

Inscriptions ➡️ https://t.co/UW75lzbklt

[Institut DATAIA Paris-Saclay @InstitutDATAIA]

⏮️[ #replay ]

Watch @StanDehaene (@cdf1530) on «Can current neural networks provide a satisfactory model of the human brain?»

🔗https://t.co/6uo9Kaok0a