Postdoctoral Fellow – AI & Data Science: The AI & Data Science Fellowship Program, a partnership between the University of Tübingen and Boehringer Ingelheim, is seeking a Postdoctoral Research Fellow in AI & Data Science. This position is an exciting opportunity to engage in cutting-edge research aimed at enhancing human and animal healthcare through innovative data-driven solutions.
Postdoctoral Research Fellow – AI & Data Science
Designation
Postdoctoral Research Fellow – AI & Data Science (f/m/d; E13 TV-L, 100%)
Table
| Detail | Information |
|---|---|
| Research Area | AI and Data Science |
| Location | University of Tübingen, Germany |
| Eligibility/Qualification | Ph.D. in relevant fields (Computational Population Genetics, Machine Learning, Bioinformatics, etc.) |
| Job Description | Involve in research on genetic data analysis and application of AI techniques. |
| How to Apply | Email application materials to the specified contact. |
| Last Date for Apply | 30th November 2024 |
Research Area
The position focuses on AI and data science research, specifically in computational population genetics, identifying patterns in genomic data, and applying cutting-edge machine learning techniques.
Location
University of Tübingen, Department of Computer Science, in collaboration with Boehringer Ingelheim, Germany.
Eligibility/Qualification
- Ph.D. or equivalent in Computational Population Genetics, Machine Learning, Bioinformatics, Medical Informatics, Computer Science, Mathematics, or a related discipline.
- Demonstrated experience in human population genetics on real and simulated data.
- Experience in phylogenetics, coalescent theory, and graph convolution networks.
- Proficiency in coding (Python) and a competitive track record of scientific publications.
- Ability to work independently and collaboratively in a team environment.
Job Description
The selected candidate will:
- Infer ancestral recombination graphs from large-scale human biobank data.
- Identify genomic patterns associated with immune diseases.
- Develop and apply Graph Convolution Networks for analyzing large data sets.
- Contribute to medical research applications using developed tools.
How to Apply
Interested candidates should send their applications, which should include:
- Motivation letter
- CV
- Certificates
- Bullet point list of representative publications and their relevance to the project
- Contact details for two academic references
Applications should be sent via email with the subject line “AI and Data Science Fellowship Program Application” to: franz.baumdicker@uni-tuebingen.de.
Last Date for Apply
30th November 2024
We encourage candidates from diverse backgrounds and underrepresented groups to apply, and we value the promotion of work-life balance and inclusivity in our work environment.
