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  • African Mathematical School 2018

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  • Coastal ecosystems, Grand Popo, Benin

  • Mangrove ecosystems, Ouidah, Benin

  • Forest, Lama Gazetted Forest, Benin


Recipients of the CEA-SMA Scholarship

Following the evaluation of applications and interviews, the Laboratoire de Biomathématiques et d’Estimations Forestières (University of Abomey-Calavi) and the African Excellence Centre in Mathematical Sciences and Applications (Institute of Mathematics and Physical Sciences), are pleased to announce the list of recipients of the special scholarship programme funded by the World …

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Scientific seminar of December 2017

In the frame of its monthly scientific seminars, the LABEF is pleased to announce that the seminar of the month of December 2017 will be on the topic: Mainstreaming biodiversity in the economic development in Benin: Implications for research Details of the seminar are as follows: Topic: Mainstreaming biodiversity in the …

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The African Mathematical School of Abomey-Calavi (Benin), 22 – 28 january 2018: Calls for Application

The Laboratoire de Biomathématiques et d’Estimations Forestières (LABEF) of the Université d’Abomey-Calavi (UAC) organizes from 22 to 28 january 2018 at Abomey-Calavi, with the support of the International Center for Pure and Applied Mathematics (ICPAM), a workshop titled « African Mathematical Schools », THEME : « mathematical modeling for epidemiology, ecology and conservation» …

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Conferences and seminars 2017-2018 in LABEF

The Director of the Laboratoire de Biomathématiques et d’Estimations Forestières (LABEF) at the University of Abomey-Calavi , Professor Glèlè Kakaï Romain and his team would like to thank you all for your effective participation in the Lab scientific activities during the academic year 2016-2017. Among other, ten scientific seminars and …

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Training opportunities offered by LABEF 2017-2018

Understanding and using statistical methods have become more necessary than ever in scientific research and decision-making. With the recent development in IT, statistics have evolved, and developed sophisticated tools and methods for processing complex data. The challenge today is less linked to data acquisition but rather more to how to …

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