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[FRB-CESAB] Data Toolbox for Reproducible Research in Computational Ecology – 2023

Pre-registrations for this training course are now closed. 

Please beware, the number of places being limited, successful applications will be confirmed in September 2023.

 
 
The CESAB – Centre for Biodiversity Synthesis and Analysis – and the RT EcoStat organize the fourth edition of the training course Data Toolbox for Reproducible Research in Computational Ecology. The objective of this five-day course is to train young researchers in reproducibility, software development and version management tools (Git, GitHub, R Markdown, Quarto, renv, Docker), applied to biodiversity research. 

 

This training will be given in French and will take place from November 20 to 24th, 2023 at CESAB in Montpellier. Its price is 150 € for the week – lunch included. Transportation, accommodation and evening meals are at the charge of the participants.

 

 

 

 

Find the training course on GitHub

 

 

List of speakers (in alphabetical order):
  • Iago BONNICI (CNRS ISEM)
  • Nicolas CASAJUS (FRB-CESAB)
  • François GUILHAUMON (IRD Entropie)
  • Aurélie SIBERCHICOT (UCBL LBBE)

[Course] Opening of pre-registration for the training course “Theory-driven Analysis of Ecological Data” – 2023

This 5-days training course, organized by the CESAB and the GdR TheoMoDive aims to train young researchers in mathematical modelling (differential equations, Lotka-Volterra, Jacobian matrices), and the statistical links between models and biodiversity data. 

 

The training course, in English, will take place from the 3rd to the 7th of April 2022 in the CESAB premises in Montpellier. Its price is 100 € for the week, including lunch. Travel, accommodation and evening meals are at the expense of the participants. 

 

You can pre-register for this course by filling in the form available on the event page until Wednesday 8th of February at midnight (CET). As the number of places is limited, registrations will be confirmed in February. 

 

 

Pre-registration and programme