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Intern - Community Development, Kolda, Senegal

With the aim to support the creation of socio-economic incentives for returning migrants and their communities, to boost the employability of young people, a new project has been launched in the Kolda region. The project is financed by the Czech Republic through its Ministry of the Interior for a period of 18 months (November 2023- April 2025). IOM believes that tackling the adverse factors behind these irregular movements, notably through the creation of economic opportunities and productive, sustainable employment, contributes to the long-term solution.

Workshop on Grafting Techniques in Vegetable Crops

FTA invites you to an interesting workshop on grafting techniques in vegetable crops. The workshop will be led by M. Sc. Melisa Huizar Mondragón, a PhD student in Protected Agriculture Sciences from the Universidad Autónoma Agraria Antonio Narro, Mexico. She will be collaborating with the Tropical Biotechnology Research Group, headed by prof. Eloy Fernández Cusimamani and Dr. Iva Viehmannová, and our botanic garden. It will be led in English.

 

Date: June 27, 2024 

Time: 10:00 AM 

Location: Faculty of Tropical AgriSciences and Botanic Garden

 

This workshop will cover:

- Advantages and disadvantages of using grafts

- Execution of grafts

- Pre- and post-graft management

 

Don't miss this opportunity to learn from experts in the field!

For more details please contact:

  • melisahuizar@gmail.com or
  • prochazkovazdislava@ftz.czu.cz

The CODATA-RDA School for Research Data Science

This activity focuses on building a range of data-related skills that are vital for addressing trans-disciplinary challenges in contemporary research work. The Summer School builds competence in data analysis and security for participants from all disciplines and/ or backgrounds from sciences to humanities. Topics to be covered include principles and practice of research data management, authorship in the 21st century, data curation, data security, Open Science, visualization, machine learning and artificial neural networks.

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