Overview
The University of Liège in Belgium is offering fully funded PhD positions focused on the development of interpretable deep learning techniques for genomic data analysis. This collaborative project involves three research teams and aims to enhance machine learning methodologies while addressing practical challenges in genomics. The initiative is particularly significant as it seeks to improve genomic prediction accuracy and understand genetic variation through advanced computational methods.
Background & Relevance
Deep learning has emerged as a transformative approach in various fields, including genomics, where it can significantly enhance the analysis of complex biological data. The integration of deep learning techniques into genomic research is crucial for deciphering the intricate relationships between genetic traits and environmental factors. This project not only aims to push the boundaries of machine learning but also to provide insights into the genetic basis of traits in both plants and animals, which is vital for advancements in agriculture and conservation.
Key Details
- Positions: Two PhD positions
- Location: University of Liège, Belgium
- Funding: Fully funded for 4 years, starting from October 1st, 2025
- Application Start Date: September 1st, 2025, with positions open until filled
- Contact Emails: p.geurts@uliege.be, tom.druet@uliege.be, vahuynh@uliege.be
Eligibility & Participation
Candidates with a strong interest and experience in machine learning, artificial intelligence, computer science, data modeling, or genomics (both animal and plant) are encouraged to apply. The program is designed for individuals who thrive in an international research environment, with English as the primary language of communication.
Submission or Application Guidelines
To apply, interested candidates should send an email to the provided addresses, including:
– A current CV
– A letter expressing interest in the position
– A list of referees with contact information
More Information
This initiative represents a significant step towards integrating advanced computational techniques in genomics, which is essential for understanding biological processes and improving agricultural practices. The focus on explainable AI and deep learning methodologies will contribute to the growing field of bioinformatics, making this project relevant for researchers aiming to bridge the gap between computational science and biological research.
Conclusion
The University of Liège offers a unique opportunity for aspiring PhD candidates to engage in cutting-edge research at the intersection of deep learning and genomics. Interested individuals are encouraged to apply and contribute to this innovative project that promises to advance both scientific knowledge and practical applications in the field.
Category: PhD & Postdoc Positions
Tags: deep learning, genomics, machine learning, bioinformatics, animal genomics, plant biology, data modeling, explainable ai, single-cell rna-seq, gene regulatory networks
