Doctoral student in deep learning for biological systems

Project description

Third-cycle subject: Electrical Engineering

The department of Decision and Control Systems (DCS) is currently seeking a doctoral student with a strong background in machine learning, mathematics, and modeling, and an interest in biological systems. The successful candidate will join a project to understand and model cell-cell interactions to disrupt cancer-promoting equilibria. We aim to develop in silico and in vitro models and tools to build and validate digital twins of such interactions, with the objective of steering cellular systems toward healthier states and transforming drug development to reduce trial-and-error and accelerate the translation of discoveries into clinical applications.

DCS conducts fundamental research in machine learning, control systems, and system identification, in partnership with AstraZeneca, SciLifeLab, and the Karolinska Institute. We collaborate with researchers at Caltech, MIT, UC Berkeley,...