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HEHertie Institute for AI in Brain Health

Postdoc in Interpretable Computational Pathology(m/w/x)

Tübingen
Full-timeOn-siteExperienced
AI/ML

Developing deep learning models for histopathology image analysis at Hertie AI. PhD in computational field and strong Python/R skills required. Research presentations at conferences, high-impact publications.

Requirements

  • PhD in computational field (Computer Science, Data Science, Biomedical Informatics, or related)
  • Strong programming skills (Python or R)
  • Ability to process and analyze large-scale, complex datasets using ML
  • Track record of scientific creativity and rigor
  • Ability to find novel solutions to complex engineering hurdles
  • Excellent written and spoken English skills
  • Ability to navigate and contribute to multidisciplinary team
  • Experience with digital pathology or clinical imaging
  • Self-starter mindset
  • Organizational ability to shape laboratory workflows

Tasks

  • Lead development of deep learning models for histopathology
  • Ensure research aligns with grant objectives
  • Bridge engineering and medical teams for clinician-ready AI tools
  • Prepare high-impact articles for peer-reviewed journals
  • Present research findings at conferences
  • Supervise students in the new lab
  • Contribute to technical refinement of research grant applications

Work Experience

  • approx. 1 - 4 years

Education

  • Doctoral / PhD

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • Python
  • R
  • ML
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