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Postdoc in Interpretable Computational Pathology(m/w/x)
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
- English – Business Fluent
Tools & Technologies
- Python
- R
- ML
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Not a perfect match?
- Hertie Institute for AI in Brain HealthFull-timeOn-siteNot specifiedTübingen
- The Quantitative Biology Center (QBiC) and the Hertie Institute for AI in Brain Health (Hertie AI) at the University of Tübingen
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Postdoc in Interpretable Computational Pathology(m/w/x)
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
- English – Business Fluent
Tools & Technologies
- Python
- R
- ML
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Hertie Institute for AI in Brain Health
Industry
Healthcare
Description
Hertie AI develops AI for early detection and treatment of nervous system diseases using transparent AI for medical image analysis.
Not a perfect match?
- Hertie Institute for AI in Brain Health
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Full-timeOn-siteNot specifiedTübingen - The Quantitative Biology Center (QBiC) and the Hertie Institute for AI in Brain Health (Hertie AI) at the University of Tübingen
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Full-timeOn-siteExperiencedTübingen - Hewlett Packard Enterprise
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