Internship – Computational Modelling and Digital Twins of Organoids (f/m/x)
Core
Develop and evaluate computational models and digital twins for organoid development, morphology, growth, and response to external stimuli.
Role type
Research intern (computational biology & AI)
Builds
Computational models and digital twins of organoids
Domain
Computational biology, artificial intelligence, microscopy
Deliverable
production ML models
Required skills
Python, scientific computing, data analysis, statistical modelling, machine learning, image analysis, computer vision, time-series data analysis
Preferred skills
computational modelling, systems biology, quantitative biology, organoids, virtual cells
Technologies
Python
Responsibilities
Develop and evaluate computational models for organoid development; Analyze multimodal biological data including microscopy images and time-lapse recordings; Design and conduct experiments using simulated and real-world datasets; Investigate existing approaches in scientific literature and adapt them to ZEISS-specific applications; Support the integration of data-driven and mechanistic modelling approaches
Seniority
Intern
