- Department / Institute
- Institut für Schlaganfall- und Demenzforschung (ISD)
- Subject area
- Artificial intelligence, Image Analysis, Bioinformatics
- Name of supervisor
- Prof. Dr. Ali Ertürk
- Number of open positions
- 1
- Project title
- Integrated analysis of multiomics and three-dimensional imaging data
- Language requirements
- Fluency in English
- Academic requirements
- 4-year Bachelor's plus Master's degree; experience in AI-based image analysis or ‘omics data preferred
- Study model
- Full doctoral study model: 48 months
- Contact
- ali.ertuerk@med.uni-muenchen.de
Project description
Our group's main objective is to accelerate biomedical research through innovative integration of cutting-edge technologies. We uniquely combine whole-body clearing and three-dimensional imaging techniques for whole mice and large human tissues with artificial intelligence (AI) and spatial omics methodologies. Our research interests encompass mapping systemic health and disease processes throughout the body, conducting molecular analyses of spatially defined physiological and pathophysiological structures, developing novel drug delivery approaches, and creating new AI and experimental technologies to enhance our comprehension of mammalian physiology.
For the present project, we are seeking a skilled computer/data scientist to devise methods for integrating extensive molecular and whole-body imaging data. This undertaking will entail analyzing in-house generated data from diverse disease models and predicting physiological, structural, and gene expression responses to perturbations and disease progression.
Proficiency in programming environments such as Python or R, and in data visualization approaches will be essential. The project seamlessly bridges AI, high-performance computing, and bioinformatics to transform medical insights and treatments, with a comprehensive understanding of AI's healthcare potential.