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# PhD Position - Machine Learning & Genomics in Antimicrobial Resistance Diagnostics

- **Company:** Universitätsklinikum Tübingen
- **Location:** Tübingen, Germany
- **Contract:** Permanent contract
- **Skills:** Bioinformatics, Linux, Python (Programming Language), Machine Learning
- **Published:** September 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=dbd29bdfd8aefd6b

## About the Role

* Completed Master's degree in bioinformatics, microbiology, or a comparable subject
 * Confident programming in Python and experience working in a Linux environment with bioinformatics tools
 * Practical experience with machine learning and/or analysis of whole-genome sequencing data
 * Interest in bacterial genomics and clinical microbiology and willingness to combine computational work with experiments at the bench
 * Independent and structured working style, team orientation and scientific rigour, ideally evidenced by a first publication

## Description

* Development and clinical evaluation of machine-learning models for the detection of resistance plasmids directly from routine MALDI-TOF mass spectra
 * Genomic analysis of carbapenemase-producing Enterobacterales and their mobile genetic elements, using short- and long-read whole genome sequencing
 * Establishment and analysis of linked MALDI-TOF and genome datasets as the basis for generalisable predictive models
 * Experimental validation of computational predictions through conjugation, plasmid curing and stability assays, supported by a dedicated technical assistant
 * Contribution to national and international consortia (DZIF TTU-HAI, ESGEM-AMR) and presentation of results at conferences and in peer-reviewed journals, 2 The data provided does not constitute a basis for an employment contract at the University Hospital of Tübingen. It is intended to serve as a rough guide for all interested parties. Remuneration is governed by the applicable collective bargaining agreements in conjunction with the corresponding pay scales.