Doktorand inom djupinlärning för biologiska system
Core
Developing in silico and in vitro models and tools to build and validate digital twins of cell-cell interactions to disrupt cancer-promoting equilibrium states and steer cellular systems toward healthier states.
Role type
PhD researcher in deep learning for biological systems
Builds
Digital twins of cell-cell interactions for precision medicine
Domain
Biomedical research / Deep learning / Systems biology
Deliverable
production ML models
Required skills
Deep learning, Mathematical modeling, Control theory, Statistics, Programming
Preferred skills
Prior experience with biological systems, Publications in relevant fields
Technologies
Python, TensorFlow, PyTorch, MATLAB, C++
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