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Postdoctoral Researcher – AI-based Multi-Omics in Computational Biomedicine(m/w/x)
AI model development using graph neural networks for multi-omics analysis in a clinical research setting. 1-3 years postdoctoral research experience and publication track record essential. Public sector collective agreement, state-of-the-art computational infrastructure.
Requirements
- PhD in Bioinformatics, Computational Biology, Data Science, or related field
- Strong background in machine learning and statistical modeling
- 1–3 years of postdoctoral or equivalent research experience
- Track record of publications in peer-reviewed journals
- Experience with multi-omics data integration
- Proficiency in Python/R and deep learning frameworks
- Strong interest in translational biomedical research
Tasks
- Develop AI models for integrative multi-omics analysis
- Apply graph neural networks and variational autoencoders
- Construct molecular interaction networks across various data types
- Analyze transcriptomic, proteomic, and metabolomic data
- Perform biomarker discovery and simulation-based perturbation analyses
- Collaborate with clinicians and experimental scientists
- Publish research findings in high-impact journals
- Contribute to open-source software development
Work Experience
- 1 - 3 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- PyTorch
- TensorFlow
Benefits
Startup Environment
- Interdisciplinary research environment
Modern Equipment
- State-of-the-art computational infrastructure
Informal Culture
- National and international collaboration
- Motivated and open-minded team
Job Security
- Secure and stable position
Retirement Plans
- Additional pension coverage (VBL)
Diverse Work
- Interesting and varied position
Mentorship & Coaching
- Structured onboarding
Learning & Development
- Qualified training
Healthcare & Fitness
- Comprehensive health promotion program
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- Universitätsklinikum ErlangenFull-timeOn-siteNot specifiedErlangen
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Postdoctoral Researcher – AI-based Multi-Omics in Computational Biomedicine(m/w/x)
AI model development using graph neural networks for multi-omics analysis in a clinical research setting. 1-3 years postdoctoral research experience and publication track record essential. Public sector collective agreement, state-of-the-art computational infrastructure.
Requirements
- PhD in Bioinformatics, Computational Biology, Data Science, or related field
- Strong background in machine learning and statistical modeling
- 1–3 years of postdoctoral or equivalent research experience
- Track record of publications in peer-reviewed journals
- Experience with multi-omics data integration
- Proficiency in Python/R and deep learning frameworks
- Strong interest in translational biomedical research
Tasks
- Develop AI models for integrative multi-omics analysis
- Apply graph neural networks and variational autoencoders
- Construct molecular interaction networks across various data types
- Analyze transcriptomic, proteomic, and metabolomic data
- Perform biomarker discovery and simulation-based perturbation analyses
- Collaborate with clinicians and experimental scientists
- Publish research findings in high-impact journals
- Contribute to open-source software development
Work Experience
- 1 - 3 years
Education
- Doctoral / PhD
Languages
- English – Business Fluent
Tools & Technologies
- Python
- R
- PyTorch
- TensorFlow
Benefits
Startup Environment
- Interdisciplinary research environment
Modern Equipment
- State-of-the-art computational infrastructure
Informal Culture
- National and international collaboration
- Motivated and open-minded team
Job Security
- Secure and stable position
Retirement Plans
- Additional pension coverage (VBL)
Diverse Work
- Interesting and varied position
Mentorship & Coaching
- Structured onboarding
Learning & Development
- Qualified training
Healthcare & Fitness
- Comprehensive health promotion program
About the Company
Universitätsklinikum Erlangen
Industry
Healthcare
Description
Das Unternehmen bietet Patientenversorgung auf höchstem Niveau, ausgezeichnete Forschung und Lehre sowie modernste Medizin und Diagnostik.
Not a perfect match?
- Universitätsklinikum Erlangen
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