The AI & Data Science Fellowship Program, a cooperation between the University of Tübingen and Boehringer Ingelheim aims at developing AI & data science research topics that generate real added value for healthcare.
We are currently looking for a Postdoctoral Research
Fellow within the “Multi-modal deep
learning for biomarker discover in mass spectrometry imaging data” project. In
this research project, we aim at developing and applying machine learning
methods, to associate mass spectrometry imaging data data with clinical
phenotypes to discover novel small molecule tissue biomarkers with
characteristic spatial tissue distribution.
As Postdoc, you will be hosted in the research group led by Prof. Manfred Claassen and collaborate with Dr. Vladimir Lekic, Central Data Science, and Dr. Michael Becker, Drug Metabolism and Pharmacokinetics, of Boehringer Ingelheim.
The initial fixed-term contract will start as soon as possible and have a duration of 2 years with possible extension.
Please send your application (including motivation letter, Curriculum vitae, certificates, representative publications, academic references, and links to publicly available code examples (e.g., GitHub, OSF, etc.) as a single PDF to Prof. Dr. Manfred Claassen: manfred....@med.uni-tuebingen.de.
Looking forward, Manfred Claassen