Andrea Tangherloni
4 days ago
Postdoctoral Positions in Computational Biology, Machine Learning, and Single-Cell Omics at Bocconi University Bocconi University in Italy
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableDeadline
December 31, 2026Country
Italy
University
Bocconi University

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About this position
Join the Computational Biology group at Bocconi University in Milan as a postdoctoral researcher, working on the FIS-funded project "Decoding the Language of Single-Cell Gene Regulation with Transformers (DECODE)." This interdisciplinary team focuses on the intersection of AI and biology, with research topics including single-cell omics, machine learning and deep learning for biological data, and integrative and multimodal modeling. The group offers an international and collaborative environment, ideal for candidates passionate about applying advanced AI methods to complex biological problems.
The position is based at Bocconi University, Milan, with a start date in June 2026. Applicants should have a strong background in computational biology, machine learning, or related fields, and hold a PhD in a relevant discipline. The role is funded for two years through a FIS grant, providing an excellent opportunity to contribute to cutting-edge research in gene regulation and computational methods.
To apply, candidates should submit their application through the Bocconi University job market portal by April 27, 2026. For more information, candidates may contact the group or reach out to Assistant Professor Andrea Tangherloni. This opportunity is ideal for researchers interested in computational biology, AI in biology, and single-cell data analysis.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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