Postdoc – Computational Tissue Analysis (m/f/d)

In an international, dynamic, and multidisciplinary environment, the candidate will work on the application and development of novel computational methods for analysis of state-of-the-art spatially resolved multi-omics single cell data. The work will be motivated by problems arising from a range of translational applications in the area of spatial biology.

The candidate should:

•  Have either a PhD degree in computer science, engineering sciences, physics or mathematics, or a PhD degree in biological sciences or medicine with very strong experience in computational work
•  Have extensive experience programming in Python and/ or R
•  Experience in development or application of machine learning/optimization methods
•  Have good English communication skills
• An exceptional candidate may optionally have one or more of the following experiences: Experience in analyzing spatial omics data

• Work contract and funding according to a collective agreement with all corresponding social benefits
• Access to state-of-the-art spatial omics and clinical data
• Access to further training opportunities offered by the Heidelberg University and Heidelberg University Hospital
• Access to high performance computing infrastructure
• Stimulating and supporting interdisciplinary research environment with access to international research networks
• Collectively agreed remuneration, attractive company pension scheme (VBL)
• 30 days vacation
• Sustainable travel: job ticket
• Family-friendly working environment: cooperative arrangements for childcare, subsidy for child vacation care, advice for employees with relatives in need of care
• Wide range of health, prevention and sports offers

For further Information please contact Dr. Denis Schapiro via e-mail.

Interested?

To apply please submit a letter of motivation (1 page), CV and a list of references with contact details. Applications will be accepted until 28.02.2025.