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Postdoc in Digital Pathology: Therapy-response prediction using spatial biology

THE GROUP: The candidate will be part of the Compu­ta­tional Systems Biology group at the University of Salzburg, which is headed by Nikolaus Fortelny (https://plus.ac.at/fortelny). The group is focused on integrating single-cell and spatial multi-omics data with biolo­gical knowledge using AI/ML and other compu­ta­tional approaches in cancer and immunology research. We focus on approaches that produce robust, reliable, and ideally inter­pr­e­table results.

THE PROJECT: Cancer treatment is difficult because patients respond differ­ently to therapies and because therapy responses are challenging to predict beforehand. The candidate will develop compu­ta­tional models to predict therapy response in breast cancer based on images (H&E stains) alone or in combi­nation with spatial omics data. The candidate will closely colla­borate with partners from the hospital of Salzburg and the group of Fritz Aberger from the university, who have a biobank of samples and will generate the data. The project is funded by the state of Salzburg in the presti­gious “AI-call” that is focused on bringing AI into real-world appli­ca­tions.

THE PLACE: The city of Salzburg has ample natural and cultural attrac­tions as well as fast connec­tions to Vienna and Munich. It is surrounded by beautiful lakes and mountains, with various oppor­tu­nities for recrea­tional and sports activities. The university has 18 000 students, and a highly colla­bo­rative research environment in both biome­dical and compu­ta­tional sciences.

QUALI­FI­CA­TIONS:
— PhD in bioin­for­matics, biotech­nology, computer science, statistics, physics, or similar
— Excellent scien­tific thinking and commu­ni­cation, high level of motivation and drive
— Programming skills (python) and AI/ML frame­works (pytorch, tensorflow or similar)
— Experience with predictive models, ideally for image analysis, evidenced by publi­ca­tions
— An under­standing of and interest in basic biome­dical concepts
— Excellent English and commu­ni­cation skills

DETAILS:
— Start date: ideally January 2025
— Duration: 3 years
— Salary and work hours according to Austrian funding regula­tions
— Place of work: Salzburg, Austria

OUR OFFER:
— Research in bringing AI/ML and spatial omics into the clinic
— Cutting-edge academic environment (https://scholar.google.at/citations?user=IHjaqgkAAAAJ)
— Being part of an inter­na­tional, inter­di­sci­plinary, and fun team
— Oppor­tu­nities for self-growth through courses for hard and soft skills
— Parti­ci­pation in confe­rences and project meetings
— Excellent social benefits of working in Austria (holidays, health insurance, …)
— Environment that values a healthy work / life balance

Enthu­si­astic scien­tists, who are motivated to develop AI/ML models for real-world biome­dical appli­ca­tions are encou­raged to apply. Please send a letter describing your motivation (one page), CV, and names of 2–3 reference contacts to nikolaus.fortelny@plus.ac.at, writing “Appli­cation Postdoc Digital Pathology 2025” in the subject line.

DEADLINE: October 26th, 2025.

We look forward to hearing from you!