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Postdoc positions in AI, compu­ta­tional biology, physics or micro­biology for drug discovery

We are looking for highly motivated coworkers to join our inter­di­sci­plinary lab “Machine Biopho­tonics” in the Rudolf Virchow Center at the University of Würzburg in Germany. Our lab develops compu­ta­tional and experi­mental methods for trans­la­tional biology, with a focus on imaging-based antibiotic drug discovery. Ongoing and/or planned projects include:

  • AI for image-based pheno­typic screening
  • Generative AI for drug design
  • Machine learning for metabo­lomics
  • In silico drug screening
  • AI for micro­bio­lo­gical diagnosis
  • Compu­ta­tional imaging for pheno­typic drug screening
  • Explainable AI for biome­dicine
  • CRISPRi screens, spatial transcrip­tomics for pheno­typic screening

For more infor­mation about our main research interests, please visit our webpage.

Five postdoc positions are open in the Machine Biopho­tonics Lab at University of Würzburg (Germany), and two positions in our sister lab, the Imaging and Modeling Unit at Institut Pasteur (Paris, France).

The positions are funded in part by the Rudolf Virchow Center, the Bavarian High Tech Agenda, the EU ERC Synergy project “AI4AMR” (colla­bo­ration with I. Boneca, Inserm/Institut Pasteur and M. Brönstrup, Helmholtz Centre for Infection Research) and the Agence Nationale de la Recherche (ANR).

Appli­cants should hold (or be close to obtaining) a PhD in one of the following or related fields:

  • Compu­ta­tional biology, bioin­for­matics, chemo­in­for­matics
  • Physics, biophysics, engineering
  • AI, computer science, applied mathe­matics
  • Drug discovery, high content screening
  • Micro­biology, cell biology, molecular biology

We are seeking highly motivated candi­dates with a strong interest in inter­di­sci­plinary research, an excellent work ethic, strong teamwork skills, and fluency in English (both spoken and written).

To apply, please send us a single PDF containing:

  • A cover letter explaining your motivation to join us and how your expertise aligns with our research
  • A detailed CV including a publi­cation list and a summary of your past research achie­ve­ments (5 pages max)
  • Contact details of at least three referees, preferably former or current super­visors
  • Copies of transcripts and diplomas