At Helmholtz Munich, we develop groundbreaking solutions for a healthier society in a rapidly changing world. We believe that diverse perspectives drive innovation. Through strong partnerships, we accelerate the transfer of new ideas from the lab to real-life applications.
The Computational Health Center (CHC) at Helmholtz Munich develops novel computational tools powered by AI to accelerate discovery and translation in human health and disease.
The CHC has open positions in its postdoctoral program. The program offers you the opportunity to conduct cutting-edge research at the intersection of machine learning and health sciences, with unique access to experimental and clinical data. Embedded in Munich's thriving AI landscape, postdoctoral researchers benefit from world-class facilities, interdisciplinary collaboration, career development events, networking initiatives, industry placements, and research stays.
Candidates are expected to conduct independent and collaborative research, contribute to publications and grant writing, and support the supervision of students and junior researchers. The available positions are focusing on:
If you fulfill all the requirements, you may be eligible for a salary grade of up to E 13. Social benefits are based on the Collective Wage Agreement for Public-Sector Employees (TVöD). These positions are for a fixed term of 2 years.
Prof. Dr. Dr. Fabian Theis, Director Computational Health Center:
“With AI we can imagine a future where diagnosing and treating diseases is more affordable, widely available, and thus more democratic.”
If you have any questions, feel free to contact Julia Schlehe or Mara Kieke, who will be happy to help. Our recruiting is decentralized – your application will be reviewed directly by the specialist department in which you could work in the future. More information about our application process. Please send your application only via our online application tool and with the following documents:
We are committed to promoting a culture of diversity and welcome applications from talented people regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical abilities, religion or age. Qualified applicants with physical disabilities will be given preference.
Tagged as: Life Sciences
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