Publisher
source

University of Tübingen

PhD in Computational Biology, AI and Cancer Research at spaXio MSCA Doctoral Network University of Tübingen in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available

Deadline

Sep 1, 2026

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Country

United Kingdom

University

University of Tübingen

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Keywords

Computer Science
Deep Learning
Biology
Artificial Intelligence
Computational Biology
Cancer Research
Medical Science
Digital Twin Technology
Omics
Statistics
computational cancer biology
Machine learning

About this position

spaXio, an EU-funded MSCA Doctoral Network focused on spatial crosstalk in immuno-oncology, is still recruiting for two fully funded PhD positions in Europe. The open projects sit at the intersection of computational biology, artificial intelligence, cancer research, spatial omics, machine learning, and systems medicine.

Project 10 is based at the University of Tübingen, Germany in the Claassen Lab. This project develops transformer-based deep learning and explainable AI methods to analyze spatial proteomics data, identify disease-associated tumour microenvironment patterns, and support the in silico design of therapeutic tumour microenvironment modifications.

Project 13 is based with DeepLife and Aix-Marseille University, Marseille, France. It focuses on digital twin modeling for tumour-relevant cell types by integrating single-cell and spatial multi-omics data to simulate metastatic niche interactions and guide experimental validation in breast and colorectal cancer.

The network offers extensive training, secondments, and collaborative research opportunities across Europe. The positions are described as fully funded and supported by the MSCA DN budget and salary.

Applications are still welcome. Candidates should use the official application form and reference letter template from the spaXio website and submit materials to [email protected]. The recruitment page notes that Project 10 and Project 13 are re-opened and that the positions must be filled by September 2026.

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.

More information can be found here

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