PhD Position (m/f/d) – Krombach Fellow
Core
Conduct large-scale genomic analyses and machine learning to identify genetic foundations of sleep disorders and advance precision medicine for restless legs syndrome.
Role type
PhD researcher (statistical genetics & machine learning)
Builds
Reproducible analysis pipelines, genetic risk prediction models, and scientific publications
Domain
Human genetics, sleep disorders, statistical genetics
Deliverable
production ML models
Required skills
Python, R, genome-wide association studies (GWAS), meta-analysis, statistical genetics, machine learning, high-performance computing, causal inference
Preferred skills
None stated
Technologies
Python, R, high-performance computing, cloud platforms
Responsibilities
Design and conduct GWAS and multi-ancestry meta-analyses; Apply advanced statistical genetics methods to identify disease-associated variants; Develop and benchmark machine-learning models for genetic risk prediction; Integrate genomic, clinical, and functional genomics data; Build reproducible analysis pipelines on HPC and cloud platforms; Present research findings and contribute to publications
