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University of Liege

Fully-Funded PhD Positions in Machine Learning, Genomics, and Explainable AI University of Liège in Belgium

Degree Level

PhD

Field of study

Computer Science

Funding

The positions are fully funded PhD opportunities. Specific details about stipend amount, tuition coverage, or other financial benefits are not provided.

Deadline

Oct 1, 2026

Country flag

Country

Belgium

University

University of Liege

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Keywords

Computer Science
Machine Learning
Deep Learning
Biology
Transcriptional Regulation
Livestock
Statistics
Bioinformatics
Genomics,
Explainable Ml
- Plant Genomics

About this position

Two fully-funded PhD positions are available at the University of Liège, Belgium, focusing on the development of interpretable deep learning techniques for plant and animal genomic data. This collaborative project brings together the Montefiore Institute (AI & ML), the Unit of Animal Genomics (livestock genomics), and the Translational Plant Biology Lab. Students will engage in cutting-edge research on explainable AI, knowledge-guided deep learning, and gene regulatory network inference, working with data from cattle and Chlamydomonas reinhardtii. The research is highly interdisciplinary, combining machine learning, genomics, and bioinformatics, and aims to advance understanding in both plant and animal systems. The project is ideal for candidates interested in the intersection of computer science, biology, and statistics, particularly those passionate about explainable AI and its applications in genomics. The positions are fully funded, though specific financial details are not provided. Applicants should have a strong interest in machine learning, AI, computer or data science, or genomics, and be motivated to work in a collaborative, international environment. The start date is October 2025. To apply, candidates should send a CV, motivation letter, and referees to the provided email addresses. This is an excellent opportunity to join a leading research institution and contribute to innovative research at the interface of AI and genomics.

Funding details

The positions are fully funded PhD opportunities. Specific details about stipend amount, tuition coverage, or other financial benefits are not provided.

What's required

Applicants should have a strong interest in machine learning, artificial intelligence, computer or data science, or genomics. Motivation and the ability to work collaboratively in interdisciplinary teams are important. No specific degree or GPA requirements are mentioned, but a relevant background is expected.

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