Postdoc (m/w/d)

We are now expanding our activities in translational artificial intelligence and are looking for an ambitious postdoctoral researcher who wants to grow into the leadership of an independent research group. You will develop foundation and multimodal models that integrate histomorphology, DNA methylation, sequencing, spatial and clinical data, to address unmet clinical needs (risk stratification, therapy response, identification and characterization of rare entities, AI-supported process optimization) and take models from retrospective proof of concept through prospective validation towards certified diagnostic use.

As a key member of our interdisciplinary team of physicians, biologists and computer scientists, you will work directly alongside the neuropathologists who sign out the diagnoses and with the data your models learn from. We are a key part of the Heidelberg (neuro)-oncology ecosystem and enjoy close collaboration with diverse clinical and technical departments on campus as well as active partnerships with renowned international institutions.

We will actively support you in building your own scientific profile, in acquiring independent third-party funding and in your habilitation - with the clear perspective of establishing your own research group within the department.

Selected recent work from the department

Jin D, et al. Hetairos is a histology-based artificial intelligence model for predicting central nervous system tumor methylation subtypes. Nat Cancer. 2026;7:884-898. doi:10.1038/s43

Sill M, et al. Advancing CNS tumor diagnostics with expanded DNA methylation-based classification. Cancer Cell. 2025;44:340-354. doi:10.1016/j.ccell.2

Maas SLN, et al. A microenvironment-determined risk continuum refines subtyping in meningioma and reveals determinants of machine learning-based tumor classification. Nat Genet. 2026;58:341-354. doi:10.1038/s41588--w

Capper D, et al. DNA methylation-based classification of central nervous system tumours. Nature. 2018;555:469-474. doi:10.1038/nature26000

Job-ID: V000016389

Field of application: Neuropathologie

Location: Heidelberg

Start date:

Job Category: Science and teaching

Working hours: full-time (100%)

Limitation: Temporary (3 Jahre)

Contract: TV-L

As a key member of our interdisciplinary team, you will:

Develop and adapt foundation and multimodal models integrating histomorphology, -DNA methylation, sequencing, spatial and clinical data

Establish reproducible training and inference pipelines o...

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Quelle: Statistisches Bundesamt (Destatis), Tabelle; dl-de/by-2-0; eigene Berechnung