Connectionists: EITN School in Computational Neuroscience (Fall 2022, Paris): application extended to 30 June

Zélie Tournoud zelie.tournoud at cnrs.fr
Wed Jun 22 11:12:06 EDT 2022


Dear everyone,

I am pleased to share that application period to EITN School in 
Computational Neuroscience has been extended by one week, and will now 
run until 30 June 2022.

This training is taking place from 21 to 30 September 2022 in Paris, 
France. Application (CV + Motivation letter) are to be sent at 
eitn at neuro-psi.fr . More information below.

Thank you and have an excellent day,

*Zélie Tournoud*///
EITN Communication manager/
*European Institute for Theoretical Neuroscience (EITN)*

UMR 9197 – *NeuroPSI*(Institut des Neurosciences Paris-Saclay)

CNRS – Université Paris-Saclay

Centre CEA Paris-Saclay

Bâtiment 151

91400 Saclay

https://www.eitn.org <https://www.eitn.org>

__________
*
*


  EITN School in Computational Neuroscience, 2022 session

EITN School in Computational Neuroscience is an intensive computational 
neuroscience training aimed at neuroscience students and early-career 
researchers. It is supported by the Human Brain Project and is an 
oppotunity to learn from researchers from all over Europe. The 2022 
edition will take place from *21 to 30 September 2022* in Paris, France. 
Attendance is selective as seats are limited. *Applications are open 
until 30 June 2022.*
*Information : https://eitnschool2022.sciencesconf.org*

Organizers: Sacha Van Albada (Forschungszentrum Jülich), Albert Gidon 
(Humboldt-Universität zu Berlin), Hermann Cuntz (Frankfurt Institute for 
Advanced Studies, Ernst Strüngmann Institute), Alain Destexhe (CNRS), 
Matteo di Volo (Cergy Université), Spase Petkoski (Aix-Marseille 
Université), Gorka Zamora-Lopez (Universitat Pompeu Fabra).
Faculty:
     Nicolas Brunel
     Hermann Cuntz
     Gustavo Deco
     Alain Destexhe
     Matteo di Volo
     Albert Gidon
     Jennifer Goldman
     Moritz Helias
     Viktor Jirsa
     Maurizio Mattia
     Spase Petkoski
     Sacha Van Albada
     Gorka Zamora-Lopez
     Damien Depannemaecker
     Domenico Guarino
     Jorge Mejias
     Kirsten Fischer
     Michael Dick
     Renan Shimoura
     András Ecker
     Athanasia Paputzi
     Marja-Leena Linne
     Gaute Einevoll
To be completed


    Who is this training for?


  * Neuroscience (and related fields) students and related
  * Post-doctoral/early-career researchers


    Why join?


  * 10 days of intensive training in computational neuroscience provided
    by researchers from all over Europe
  * Small scale event: get to connect!
  * A complete program:
      o Cellular models, and models of brain signals
      o Circuit models and networks
      o Mean-field models
      o Whole-brain models
  * Hands-on learning schedule based on:
      o Morning classes and tutorials
      o Group projects in the afternoon
      o Free time in the evenings to visit Paris


    How to apply?

This training has a limited capacity of 20 students, therefore a 
selection will be performed by a scientific organizing committee. 
Applications are open until 23 June 2022.

*Send your application by including a resume (CV) and cover letter 
(explaining motivations t**o join) by email at **eitn at neuro-psi.fr**.* 
You will receive a confirmation your application has be received within 
5 working days or on the day application period closes (whichever comes 
the soonest). If not, please consider a technical issue and submit your 
application again. Contact eitn at neuro-psi.fr for any question or assistance.


      Selection criteria include:

  * Working or studying in neuroscience or related
  * Experience in python programming would help
  * Priority is given to PhD students as the primary target of this
    training, although Master students and post-docs are welcome to apply


      Practical information:


  * If selected, registration fee to attend the training is 400€.
  * If selected, you will need to bring your own laptop with a few
    pre-installed programs.
  * The tuition fee includes lunch, coffee, access to conference
    facilities and internet connection during the course days (Sunday
    not included).

Location: Institut Supérieur Clorivière, 119 Bd Diderot, 75012 Paris.
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