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Training and Research Workshop in "Evolutionary Genomics for Plant Models and Crops”

From 09 May 2022 until 13 May 2022 - BIOPOLIS/CIBIO-InBIO, Vairão, Portugal
Training and Research Workshop in "Evolutionary Genomics for Plant Models and Crops”
This workshop will present major on-going research topics in plant evolutionary genomics, covering both methodological and biological questions, fundamental and applied perspectives, model plants and crops.
Each theme (day) will be covered by 2 talks given by international specialists and a round table with both speakers moderated by an in-house researcher from the field.
Talks will be 1h30 research-oriented lectures (with 30 min of a general/large scope introduction on the subject). 
A lot of interaction is expected during these lectures: questions will be asked during the talks and at the round table. 
The workshop is also meant to be a platform for connecting students and labs in this field, internationally.

PROGRAM





COURSE COORDINATOR
Raquel Tavares - BIOPOLIS/CIBIO-InBIO
COURSE INSTRUCTORS
Yves Van de Peer – Ghent University, Belgium
Charlie Scutt - ENS Lyon, France

Sylvain Glémin – Université de Rennes, France

Camille Rustenholz – Université de Strasbourg, France

Yves Vigouroux – IRD Montpellier, France

Roberto Bacilieri – Université de Montpellier, France

Niels Müller - Thünen Institute, Germany
Aline Muyle – LBBE Lyon, France

Vincent Colot – ENS Paris, France


SELECTION CRITERIA
60% of available student slots are reserved for BIODIV students.

Priority will be given to:
• 1st year and other PhD students attending the BIODIV Doctoral Program and from the University of Montpellier;
• PhD students attending other courses;
• Other post-graduate students and researchers.

REGISTRATION
95,00€ (Students) | 200,00€ (Other Participants)
Participation is free of charge for BIODIV and Univ. of Montpellier students

Registration deadline: March 31, 2022
All applicants will be notified about whether they are accepted until April 6, 2022





Financed by:

  Initiative supported by the European Union’s Horizon 2020 Research and Innovation Programme under the Grant Agreement Number 857251





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