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27th Apr, 2026
Events on 27th Apr, 2026
Mar
30
  1.   General
  2.    Public
  1.   30th Mar, 2026 - 26th Jun, 2026
It is a full-time, on-site programme for physicians who hold a medical degree (MD/MBBS or equivalent) from a medical school in any country and who are licensed to practise medicine in that country. On...

It is a full-time, on-site programme for physicians who hold a medical degree (MD/MBBS or equivalent) from a medical school in any country and who are licensed to practise medicine in that country. Online participation is not possible. Registration is open until 31 January 2026.

  • The Bernhard Nocht Institute for Tropical Medicine is Germany's oldest institution of its kind, having been founded in 1900. The DTMH has been held here since 1905.
  • You will be taught by experienced scientific and clinical experts from all departments of the BNITM and from many external national and international institutions.

The Diploma Course will train physicians to work in countries of the tropics or subtropics. The course will enable participants to diagnose and treat diseases in travellers and migrants from the tropics and subtropics and to provide preventive medical travel-related advice.

The course focuses on the aetiology, epidemiology, clinical presentation, diagnosis and treatment of tropical diseases and clinical work in low-resource settings. It also covers travel medicine and principles of global health.

Apr
27
  1.   General
  2.    Public
  1.   27th Apr, 2026
Mastering R for Epidemiologic Research | Online Course | Starting 27 April 2026 πŸ’»πŸ“Š The online course Mastering R for Epidemiologic Research begins on 27 April 2026 and offers a flexible, fully asynch...

Mastering R for Epidemiologic Research | Online Course | Starting 27 April 2026 πŸ’»πŸ“Š

The online course Mastering R for Epidemiologic Research begins on 27 April 2026 and offers a flexible, fully asynchronous learning experience for researchers, public health professionals, epidemiologists, and clinicians who want to strengthen their R programming skills.

Led by Malcolm Barrett, data scientist and research software engineer at Stanford University, the course introduces modern tools from the R ecosystem, including the Tidyverse and Quarto, and supports participants in building reproducible, high-quality analyses.

Participants will learn to:
β€’ Master the tidyverse for readable, efficient, and reproducible data science workflows
β€’ Create dynamic, fully reproducible documents with Quarto (exportable to PDF, HTML, Word, and more)
β€’ Model statistical problems using linear and logistic regression

πŸ—“ Format & Schedule

  • Asynchronous online course (50 virtual seats)

  • Materials available from 27 April

  • Equivalent to a one-week, 40-hour intensive course

  • Flexible completion within one to four weeks (final submission deadline: 26 May)

  • Optional live office hours via Microsoft Teams

πŸŽ“ ECTS: 3
πŸ’¬ Language: English
πŸ’Ά Fees:

  • €510 reduced (students, CharitΓ© researchers, BSPH alumni)

  • €750 regular

The course combines structured teaching units with optional advanced materials for those wishing to dive deeper into programming and reproducible research. Participants completing four assignments can earn ECTS credit or receive a certificate of participation.

All materials are provided online and remain accessible after the course.

Registration is available via the official online form.

There is no available event on this date.
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