We are looking for a candidate to fill a compu­ta­tional PhD student position, with the main task of better under­standing which genetic elements (“genes”) make bacterial pathogens such as E. coli, K. pneumoniae, P. aeruginosa, and E. faecium virulent and resistant to antibiotics. We have in fact developed methods (here and here) to sift through large numbers of bacterial genomes for this exact purpose (see here, here, and here), and it will be the job of the candidate to use and improve these methods so that they can be applied to an even larger number of genomes. We are also parti­cu­larly interested in imple­menting more machine learning methods and to integrate molecular pheno­types such as gene expression and proteomics.

Our lab is part of the RESIST excel­lence cluster at Hannover Medical School (MHH), and we are part of a colla­bo­rative project with Susanne Häussler and Meike Stiesch to identify genetic deter­mi­nants of patho­ge­nicity and virulence in life-threa­­­tening bacterial infec­tions.

We are looking for a candidate with a strong compu­ta­tional background and relevant technical skills:

• Strong background in compu­ta­tional biology, bioin­for­matics, computer science, or a related field.
• Experience with programming languages such as Python and workflow management systems such as Snakemake.
• Familiarity with machine learning techniques and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Knowledge of bacterial genomics and related bioin­for­matic tools.
• Experience with high-perfor­­­mance computing (HPC).
• Experience with version control systems (e.g., git) and software develo­pment best practices.
• Experience with statis­tical analysis and data visua­lization.

We offer a fully-funded PhD position for a little longer than 3 years, to begin in February 2026. The student will be enrolled in the Biomedas graduate program, which offers curri­culum speci­fi­cally designed for compu­ta­tional biology students. The lab is located at Twincore, embedded in a large scien­tific campus that include Hannover Medical School, and the Center for Indivi­dua­lized Infection Medicine (CiiM); we are also part of the Helmholtz Centre for Infection Research (HZI), which offers lots of oppor­tu­nities for colla­bo­ration.

Hannover is the capital of Lower Saxony, in northern Germany, and is an affordable and vibrant city.

Please apply as soon as possible by sending the following documents to Marco Galardini at marco.galardini@twincore.de:

1. Your CV
2. A short motivation letter
3. The link to a software portfolio (e.g., your GitHub account)
4. Contact details of two references

Wir suchen zum nächst­mög­lichen Zeitpunkt für unseren Haupt­standort in Neu-Ulm (flexibler Arbeitsort in den Nieder­las­sungen München und Stuttgart und/oder Homeoffice möglich) in Vollzeit eine/n Bioin­for­ma­tiker (w/m/d).

Es erwartet Sie eine inter­es­sante und verant­wor­tungs­volle Tätigkeit in einem engagierten Team und in einer modernen Arbeits­um­gebung, mit einer langfris­tigen Perspektive. Wir bieten flexible und geregelte Arbeits­zeiten, Mobiles Arbeiten, eine attraktive Vergütung, sowie Zusatz­leis­tungen wie kosten­güns­tiges Mittag­essen, freie Getränke, Firmen­events, Sport­an­gebote wie Urban Sports Club und JobRad sowie weitere attraktive Leistungen.

Aufgaben:

• Entwicklung bioin­for­ma­ti­scher Lösungen zur Optimierung unserer Prozesse in der DNA- und RNA-basierten somati­schen und Keimbahn­dia­gnostik
• Analyse und Verwaltung von Daten und Systemen im Bereich Next Generation Sequencing (short- und long-read NGS)
• Pflege von labor­be­zo­genen Daten­banken

Profil:

• Abgeschlos­senes Studium in Bio-/ Medizin-/ Infor­matik, weiter­ge­hende Ausbildung und Arbeits­er­fahrung willkommen
• Erfahrung in der Anwendung bioin­for­ma­ti­scher Software im Bereich NGS und Kenntnis der dazu grund­le­genden bioin­for­ma­ti­schen Algorithmen
• Routi­niertes Arbeiten auf Linux-basierten Systemen
• Fundierte Program­mier­erfahrung in mindestens einer Skript­sprache und SQL, Erfah­rungen in Web-Develo­pment erwünscht
• Sorgfältige und eigen­ständige Arbeits­weise, Teamfä­higkeit und Einsatz­be­reit­schaft
• Starkes Interesse und Grund­wissen in der Moleku­lar­ge­netik
• Sehr gute Deutsch- und Englisch­kennt­nisse in Wort und Schrift

Für Rückfragen steht Ihnen Dipl. Inf. Christoph Schmidt, Tel. 073114610–0 gerne zur Verfügung. Weitere Infos auch auf www.genetikum.de.

Wir freuen uns über Ihre Bewerbung!
Bitte schicken Sie uns Ihre Bewer­bungs­un­ter­lagen vollständig mit Anschreiben, Lebenslauf und Referenzen an karriere@genetikum.de.

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