Postdoctoral Researcher or PhD Student: The Hertie Institute for AI in Brain Health, within the Department of Data Science at the University of Tübingen, is seeking highly motivated individuals for the positions of Postdoctoral Researcher or PhD Student in Bioinformatics / Machine Learning. These roles focus on developing machine learning models aimed at analyzing longitudinal spatial transcriptomics data and enhancing our understanding of retinal diseases.
Postdoctoral Researcher or PhD Student in Bioinformatics / Machine Learning
Designation
- Postdoctoral Researcher or PhD Student in Bioinformatics / Machine Learning (F/M/D)
Table
Details | Information |
---|---|
Research Area | Machine Learning, Bioinformatics, Computational Neuroscience |
Location | University Hospital of Tübingen, Tübingen, Germany |
Eligibility/Qualification | |
– PhD Position | MSc in computational neuroscience, bioinformatics, machine learning, or a related field (75%) |
– Postdoc Position | PhD in computational neuroscience, bioinformatics, machine learning or related fields (100%) |
Job Duration | Limited to 3 years, with the possibility of extension |
Start Date | As soon as possible |
Application Deadline | 10.04.2025 |
Job Description
- Develop machine learning models for longitudinal spatial transcriptomics data.
- Identify corresponding functional and genetic cell types in the retina.
- Collaborate with experimental researchers to enhance understanding of disease and aging at the cell type level in the retina.
How to Apply
Interested candidates should submit their CV and cover letter to the following address: Hertieai@medizin.uni-tuebingen.de.
Last Date to Apply
- Applications must be submitted by 10 April 2025.
Additional Information
The successful candidates will join a diverse and international team focused on innovation in machine learning applications in the field of medical research. The Hertie Institute offers a supportive environment that includes professional development opportunities, attractive compensation packages, and flexible working hours.