Antonio del Sol
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Postdoc in Computational Biology and Machine Learning University of Luxembourg in Luxembourg
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Country
Luxembourg
University
University of Luxembourg

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About this position
The University of Luxembourg, a leading international research university, is offering a postdoctoral position in Computational Biology and Machine Learning at the Luxembourg Centre for Systems Biomedicine (LCSB). The LCSB is renowned for its interdisciplinary research in systems biology and biomedicine, with a particular focus on neurodegenerative diseases such as Alzheimer's and Parkinson's. The centre brings together scientists from diverse fields including computer science, mathematics, biology, chemistry, engineering, and physics, fostering a collaborative environment for innovative research.
The successful candidate will join the Computational Biology group led by Professor Antonio del Sol. This group specializes in developing computational models to address challenges in stem cell research, aging, and disease modeling. The research leverages methodologies from mathematics, engineering, and physics, integrating multiple sources of biological information to study complex biological processes at various levels of organization.
The postdoctoral researcher will participate in a European consortium dedicated to personalizing high-dose glucocorticoid therapy for children with acute immune-mediated diseases. The project aims to compare treatment regimens and identify multi-omics biomarkers that predict individual treatment response and toxicity. By integrating clinical data, patient-reported outcomes, and multi-omics profiles, the team will generate predictive models to guide safer and more effective individualized steroid use. The candidate's responsibilities include data harmonization, multi-omics integration, and the development of machine-learning models for patient stratification and outcome prediction. Additionally, the researcher will help transform complex datasets into clinically actionable biomarkers and decision-support tools for personalized treatment algorithms.
Applicants must possess a Ph.D. in computational biology, bioinformatics, biology, computer science, or related disciplines. Essential qualifications include strong computational skills, demonstrable experience in machine learning, a robust first-author publication record in relevant fields, and fluency in English. Preferred skills are prior experience with machine learning approaches in biological systems and a history of first-author publications in bioinformatics or computational biology.
The University of Luxembourg offers a modern, multilingual, and international environment with high-quality equipment and excellent infrastructure. The position is a fixed-term contract for 18 months, full-time (40 hours per week), based at the Belval Campus. The annual gross salary for postdoctoral researchers is EUR 85176. The university promotes an inclusive culture and encourages applications from individuals of all backgrounds.
To apply, candidates should submit their application online via the University of Luxembourg HR system, including a CV, cover letter, PhD diploma or expected defense date, transcript of university-level courses, and a list of publications. Early applications are encouraged as they will be processed upon reception. Applications by email will not be considered.
Funding details
Available
What's required
Applicants must hold a Ph.D. degree in computational biology, bioinformatics, biology, computer science, or related disciplines. Strong computational skills, including demonstrable experience in machine learning, are required. A strong first-author publication record in a relevant field and fluency in English are essential. Preferred skills include prior experience with machine learning approaches in biological systems and a record of first-author publications in bioinformatics or computational biology.
How to apply
Submit your application online through the University of Luxembourg HR system. Include your CV, cover letter, PhD diploma or expected defense date, transcript of university-level courses, and list of publications. Early application is encouraged as applications are processed upon reception. Applications by email will not be considered.
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