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 on our in-house and the central state academic GPU infrastructure
Co-supervise doctoral, MD and master’s students and contribute to grant applications (DFG, ERC, EU, BMBF, foundations) with the aim of acquiring your own third-party funding
Publish and present at conferences, present the work at national and international meetings and represent the department in research networks such as EUcanA
PhD or MD/PhD in computer science, computational biology, biomedical engineering, physics, mathematics, medicine or a related discipline
Track record in machine learning applied to biomedical imaging and/or omics data, documented by publications in leading journals or conferences
Ambition to develop an independent research profile and to grow into the leadership of a research group; first experience in supervising students or in grant writing is a plus
Excellent written and spoken English communication skills; German is welcome but not a prerequisite
Ability to work independently and within a collaborative, interdisciplinary team, and awareness of the role’s relevance for patient care
Collectively agreed remuneration TV-L E13, 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
Access to one of the world's largest clinically annotated CNS tumour cohorts and continuously growing multimodal datasets with linked molecular and outcome data
State-of-the-art research infrastructure including digital pathology, dedicated GPU computing and comprehensive in-house platforms for sequencing, proteomics and spatial omics technologies
A truly translational research environment where AI innovations can progress from discovery to routine diagnostic application
A structured career path towards scientific independence through mentoring, support for third-party funding acquisition, habilitation opportunities and the prospect of establishing your own research group
Close interdisciplinary collaboration with leading experts at UKHD, DKFZ, KiTZ, EUcanAI and internationally renowned research institutions worldwide
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Postdoctoral Researcher – Translational AI in Neuropathology (m/f/d) • Heidelberg, Deutschland