We are hiring two PhD student for machine learning projects about
(1) spatial transcriptomics in the retina and (2) using
biophysical modeling to understand energy consumption in the
retina!
In project (1), we want to better understand how neurons in the
retina change their function and genetics over time. During your
PhD, you will develop novel probabilistic models for cutting-edge
data acquired in collaboration with Thomas Euler and Shahar
Alon. As an ideal candidate, you are curious about open questions
in neuroscience, and passionate about using your datascience
skills to merge these data with previous datasets across
modalities (Calcium imaging, spatial transcriptomics, single-cell
transcriptomics) to get to novel insights about the retina and the
visual system.
https://jobs.medizin.uni-tuebingen.de/Job/6816/PhD-student-in-bioinformatics---machine-learning
In project (2), we want to use biophysical modeling to understand energy consumption in the retina and integrate the resulting models with a deep reinforcement learning framework! The project will allow you to work with cutting-edge differentiable simulator for understanding principles of neural coding. This PhD is part of a Deutsche Forschungsgemeinschaft (DFG) - German Research Foundation-funded iRTG "limits2vision" (https://limits2vision.net/) between University of Tübingen and Université Paris-Sorbonne.
Both post will be filled as soon as possible.
-- Professor of Data Science, Director Hertie Institute for AI in Brain Health Medical Faculty of the University of Tübingen www.hertie.ai