PhD Candidate (m/f/d)
Core
Developing large-scale microscopy image analysis pipelines, computational frameworks for 3D shape modeling, and AI-based representation learning for data-driven cell modeling to advance precision medicine.
Role type
PhD Candidate (Research Scientist)
Builds
Production ML models and research outputs for health research and disease prevention.
Domain
Biomedical imaging, computer vision, and machine learning.
Deliverable
production ML models | research
Required skills
Image analysis, computer vision, machine learning (variational autoencoders), 3D shape modeling, data-driven cell modeling
Preferred skills
Biology knowledge, publications at top-tier computer vision conferences
Technologies
3D microscopy, variational autoencoders
Responsibilities
Developing large-scale microscopy image analysis pipeline for 3D microscopy images, Developing computational framework for 3D shape modeling towards biological insights, Developing AI-based representation learning framework for data-driven cell modeling, Reporting findings and methods in conference and journal papers
Seniority
PhD Candidate, independent researcher
