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