Postdoc and PhD Opportunities in AI for Clinical Cell Therapy at University of Rostock/Marburg

Date:

Overview

The Becker Lab at the University of Rostock and Marburg is offering four exciting positions—two for Postdoctoral researchers and two for PhD candidates. These roles focus on leveraging artificial intelligence to enhance end-to-end cell processing in the field of clinical cell therapy. This initiative is in collaboration with a leading biotech company, aiming to push the boundaries of AI applications in healthcare.

Background & Relevance

Artificial intelligence plays a pivotal role in modern healthcare, particularly in optimizing clinical processes. The integration of AI in clinical cell therapy can significantly improve patient outcomes by enabling more efficient and precise treatment methodologies. The research conducted in this domain not only contributes to the scientific community but also has the potential to transform therapeutic practices globally.

Key Details

  • Positions Available: 4 (2 Postdoc, 2 PhD)
  • Application Deadline: August 31, 2025
  • Location: Rostock, with opportunities in Marburg/Frankfurt
  • Research Focus: AI methods for longitudinal multi-modal and multi-omics integration, single cell analysis, LLMs, graph and geometric deep learning
  • Affiliation: Hessian.AI (Hessian Center for AI)
  • Resources: Access to large-scale compute resources and an extensive international network including institutions like Stanford and UC San Diego
  • Application Link: Becker Lab Careers

Eligibility & Participation

These positions are aimed at researchers with a strong background in artificial intelligence and machine learning, particularly those interested in applying these techniques to clinical settings. Candidates should possess relevant academic qualifications and a passion for advancing the field of cell therapy through innovative research.

Submission or Application Guidelines

Interested candidates should prepare their applications by visiting the Becker Lab’s career page. The application process typically involves submitting a CV, a cover letter detailing research interests, and any relevant publications. Specific instructions can be found on the job posting link provided above.

More Information

The integration of AI in clinical cell therapy is a rapidly evolving field, with significant implications for patient care and treatment efficacy. By participating in this research, candidates will not only contribute to groundbreaking advancements but also gain invaluable experience and connections within the international research community.

Conclusion

This is a remarkable opportunity for aspiring researchers to join a leading lab at the forefront of AI applications in healthcare. Interested individuals are encouraged to apply and share this opportunity with peers who may also be interested in advancing their careers in this vital area of research.


Category: PhD & Postdoc Positions
Tags: artificial intelligence, clinical cell therapy, machine learning, biotechnology, multi-omics, single cell analysis, deep learning, Hessian.AI, University of Rostock, University of Marburg, graph learning, geometric deep learning

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