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Dynamical Inference Lab

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About

Dynamical Inference Lab focuses on developing robust and interpretable machine learning algorithms designed for modeling complex biological systems. This includes representation learning and inference of nonlinear system dynamics, applicable in fields like neuroscience and cell biology. The lab emphasizes scientific inference and aims to enhance the robustness and identifiability of machine learning models, particularly in life sciences. They are actively recruiting for various positions including PhDs, postdocs, and research engineers, reflecting a commitment to advancing research in this area.

Platform

Keywords

machine learning neuroscience biological systems scientific inference representation learning

Task

machine learning

Features

• robust machine learning algorithms

• interpretability in scientific inference

• representation learning techniques

• application in neuroscience and cell biology

• focus on nonlinear dynamics

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