Summer School of Computational Biology for Infectious Diseases – Hanoi, Vietnam

Summer School of Computational Biology for Infectious Diseases – Hanoi, Vietnam

Deadline: June 30, 2016

Applications are open for the Summer School of Computational Biology for Infectious Diseases. The CBID summer school is designed to provide students, researchers and professionals working on infectious diseases with basic concepts and hands-on experience in quantitative analyses of high through put data. The school is organized in 5 parallel thematic groups of 15 students max covering the following topics:

  • Molecular phylogenetics
  • (Meta)genomics
  • Population genetics
  • Transmission dynamics
  • Epidemics forecasting

The summer school will be at the University of Science and Technology of Hanoi (USTH), 18 Hoàng Quốc Việt, Hanoi, Vietnam.

Programme Details

The first day of the summer school is a day of plenaries in the auditorium, introducing the themes of the 5 groups. The students have to choose one of the 5 thematic groups that they will follow for the following 6 days. In each group, the first half of the week will consist in theory and practical. The second half of the week the students will work in subgroups of 3-5 and carry on mini-projects on real data under the supervision of the trainers. The last day of the summer school is in the auditorium again and is a day of review and practice sessions for each mini-project.

Cost

  • The summer school will be free of charge;
  • The accommodation will be covered by the school. Additionally, the school will be able to cover the trip for a number of students but cannot guarantee it for all the students. In consequence, for the candidates who want to be considered for a travel grant, they should indicate so on the application form and provide a justification.

Eligibility

Open to students, researchers and professionals working on infectious diseases.

Application Process

Register here.

For more information, visit Summer School of Computational Biology for Infectious Diseases.

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