Postdoctoral Researcher or PhD student in bioinformatics / machine learning (f/m/d)
Hertie Institute for AI in Brain Health, Department of Data Science, index number 5995
Full-/Part-time:
75 – 100 %
Limited:
3 years, possibility of extension
Start of work:
As soon as possible
Tasks
- Develop machine learning models for longitudinal spatial transcriptomics data
- Identify corresponding functional and genetic cell types in the retina
- Work with experimental researchers to contribute to understanding of disease and aging at the cell type level in the retina
Profile
- For PhD position (75 %): MSc in computational neuroscience, bioinformatics, machine learning or related field
- For Postdoc position (100 %): PhD in computational neuroscience, bioinformatics, machine learning or related fields, prior publications at conferences / in journals
- Interest and track record in a data-driven approach to modeling transcriptomic data, neural systems or understanding disease mechanisms
- Curiosity, excellent analytical and communication skills
- Interest to work in a diverse and international team
About the Department of Data Science, Hertie AI
Funded by the Hertie Foundation, the Hertie Institute for AI in Brain Health (Hertie AI, ), part of the Medical Faculty of the Eberhard Karls University in Tübingen, Germany, focuses on the development of machine learning algorithms to improve the understanding, early detection and treatment of diseases of the nervous system. We are interested in using machine learning and data science approaches to better understand the healthy and diseased eye and to improve the diagnosis of ophthalmological diseases.
Application Information
Hertie Institute for AI in Brain Health
Index number: 5995
Including CV and cover letter
Application deadline: 10.04.2025
We offer remuneration in accordance with TV-L (collective wage agreement for the Public Service of the German Federal States). Severely handicapped persons with equal qualifications are given preferential consideration. Interview expenses are not covered. Please note the applicable vaccination regulations.
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Kontaktperson:
Universitätsklinikum Tübingen HR Team