RESEARCH ASSOCIATE / DOCTORAL STUDENT (f/m/d) for the research Project "multidimensional analytic...
Core
Conducting a DFG-funded research project on dynamic mechanisms of musculoskeletal health and low back pain using machine learning and AI to analyze multimodal data and develop predictive models for personalized therapy.
Role type
Research Associate / Doctoral Student (IC)
Builds
Predictive models and analytical workflows for low back pain diagnosis and prognosis
Domain
Healthcare / Biomedical Research / Data Science
Deliverable
production ML models
Required skills
Machine learning, Artificial intelligence, Statistical analysis, Quantitative data analysis, Programming (R, Python), Project coordination, Scientific publication writing
Preferred skills
Experience in biomechanics, medicine, or psychology, Experience in grant applications, Open science practices
Technologies
R, Python
Responsibilities
Coordinate project operations and subprojects, Apply ML/AI methods to analyze multimodal data, Develop predictive models for healing trajectories, Collaborate with interdisciplinary partners, Present findings at conferences, Implement FAIR data management standards
Seniority
Junior/Mid-level, hands-on IC
