The stem cell systems biology group at the Joint Research Center for Computational Biomedicine (www.combine.rwth-aachen.de/) is looking for a highly motivated doctoral student to investigate the molecular cause of Schinzel-Giedion Syndrome (SGS), a rare neurological disorder that affects children at young age. The project aims at validating pre-clinical models of SGS through statistical and computational models and uses data generated by the international project consortium that includes project partners from Canada, Italy, Sweden and the UK. The project is funded for three years by the European Joint Programme - Rare Diseases (EJP-RD) via the German Research Foundation (DFG).
The Joint Research Center for Computational Biomedicine (JRC-COMBINE) is home to interdisciplinary research at the interface of medicine and applied mathematics. The goal of the research center is to develop safe, efficient, and personalized therapies for complex diseases through mechanistic modelling and data science. The research center is part of the University hospital (Uniklink Aachen) and the RWTH Aachen University with 47,000 students enrolled across 150 study programs.
The successful candidate will lead and contribute to:
- Statistical and computational modelling of Schinzel-Giedion Syndrome
- Computational modelling of disease mechanism at the molecular-, cellular- or tissue-level
- Statistical analysis of single-cell sequencing data
- Integration of data from multiple modalities
- Validation of pre-clinical disease models (mouse and human induced pluripotent stem cells)
- Reporting and dissemination of research to project partners and the scientific community
- Prior experience in computational modelling of dynamical systems
- Expert command of at least one of the following scripting languages: R, Julia, Python, Matlab
- Qualification in quantitative sciences including (but not limited to) Biophysics, Bioinformatics, Systems Biology, Biomedical Engineering, Physics or applied Mathematics
- Prior experience in (single-cell) Next Generation Sequencing data analysis
- Experience in machine learning and common machine learning environments
- Highly motivated to conduct scientific research independently and as part of an international team
- Keen interest in biomedicine and clinically relevant research
- Excellent communication skills
- Very good command of spoken and written English
Online through job portal: ukaachen.concludis.de/prj/shw/cbe674ba9bc1702bf55e91103db4a022_0/29307/P_h_D_position_in_computational_biomedicine_of_rare_neurological_diseases.htm