Two PhD Positions in Machine Learning at the University of Tübingen
The Hertie Institute for AI in Brain Health, University of Tübingen, is looking for two motivated PhD students in Machine Learning.
Are you passionate about mathematical foundations of visualization and single-cell data or eager to develop machine learning tools (equivariant architectures, self-supervised learning, optimal transport) to improve clinical workflows and generate neuroscience insights from biomedical imaging, neuronal time series, or multimodal single-cell data?
Then apply here:
- PhD student in Machine Learning:
https://jobs.medizin.uni-tuebingen.de/Job/6890/PhD-student-in-machine-learning - PhD student in Machine Learning for Brain Health:
https://jobs.medizin.uni-tuebingen.de/Job/6885/PhD-student-in-machine-learning-for-brain-health
You will work in the vibrant machine learning and neuroscience environment of Eberhard Karls Universität Tübingen, with the Tübingen AI Center and the Cluster of Excellence “Machine Learning – New Perspectives for Science.”