News

German Embassy Tokyo

The 61st Erwin von Bälz Prize

On November 28, 2024, the 61st Erwin von Bälz Prize was awarded at the German Embassy in Tokyo – a remarkable milestone in over six decades of medical and scientific collaboration between Germany and Japan. Supported by Boehringer Ingelheim, this prestigious award recognizes groundbreaking contributions to the improvement of human health.

Call: DAAD

Scholarships for Germany (DAAD Scholarships)

[Deadline: depending on program] Interested in studying or researching in Germany? Various DAAD scholarships for individual researchers from Japan are now open for application!

Call: DAAD

Postdoctoral Researchers International Mobility Experience (PRIME)

The DAAD is accepting applications for the „Postdoctoral Researchers International Mobility Experience“ (PRIME) programme. The programme supports postdoctoral researchers of all nationalities and funds a research stay of 18 months.

Call: RWTH Aachen University

Advanced Research Opportunities Program

[Deadline: 2023/03/31 or 2023/09/30] Are you a doctoral student or postdoc and would love to experience life and work in a state-of-the-art German research ecosystem for some time? The AROP program at the RWTH Aachen University offers travel grants and scholarships for international doctoral candidates and postdocs.

Call: DAAD Tokyo

Kigaru ni Austausch Presentation Coaching (Spring 2023)

[Deadline: 2023/04/02] Apply by April 2, 2023 to learn how to present in English like a professional with the guidance of bilingual expert Atsuko Kohata!

Call: Research Academy Ruhr (RAR)

Research Explorer Ruhr

[Deadline: 2023/02/28] Research Explorer Ruhr (RER) is a program for international early postdoctoral researchers (to-be) interested in exploring the research landscape of the University Alliance Ruhr.

Call: DAAD

Postdoc Networking Tour “Generative Models in Machine Learning”

[Deadline: 2023/02/27] The call for Postdoc-NeT-AI 04/2023 is out! The focus of this edition – which will take place from April 24 – 28, 2023 – is on Generative Models in Machine Learning.