Postdoctoral Researcher in Federated Learning
vor 12 Stunden
We are seeking a highly motivated Postdoctoral Researcher to join our team at the Luxembourg Centre for Systems Biomedicine (LCSB) to work on a project focused on federated learning and AI for health research. The successful candidate will develop and implement federated analytical workflows tailored for health research, applying AI/ML algorithms to analyse diverse data types, including clinical, molecular, and real-world data within a federated environment.
Key Responsibilities- Develop federated analytical workflows, integrating and adapting federated learning workflows specifically designed for health research, emphasizing scalability, efficiency, and privacy.
- Analyse diverse data sets with AI/ML, applying advanced AI/ML algorithms to a broad spectrum of health data, including clinical, molecular, and real-world data, in a federated context.
- Generate and use synthetic data, creating synthetic data using methods like GANs for use in federated analysis, ensuring the data is both realistic and privacy compliant.
- Support the development of federated data management and analysis platform, actively engaging and supporting the platform development team in implementing federated analytical workflows into the CLINNOVA platform.
- Take an active role on project activities, working in close harmony with a multidisciplinary team to meet project goals effectively.
- Disseminate research findings, actively sharing the ongoing work and findings with the project members, the scientific community, and other stakeholders through project meetings, conferences, and publications.
- A PhD in computer science, information technology, computational biology, bioinformatics, or a related field, with keen interest in health research and related IT infrastructure.
- Domain knowledge: good understanding of statistical analysis principles and AI/ML techniques in both centralized and federated environments.
- Technical skills: proficiency in Python programming language, including data manipulation libraries (e.g., Pandas), ML frameworks (e.g., scikit-learn), and visualization tools (e.g., Matplotlib, Seaborn).
- Additional skills: good ability to manage tasks effectively to meet project deadlines and reporting.
The LCSB is an interdisciplinary research centre of the University of Luxembourg, conducting fundamental and translational research in the field of Systems Biology and Biomedicine. We focus on neurodegeneration and are especially interested in Alzheimer's and Parkinson's disease and their contributing factors. Our team is truly connected, working together with hospitals and research institutes on a national and international level, as well as industrial partners. We are committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.
How to ApplyApplications should be submitted online and include a detailed curriculum vitae (CV) including a list of publications and projects, a cover letter describing experience and future interests, contact information, and recommendation letters from at least three referees. Early application is highly encouraged, as the applications will be processed upon reception. Applications by email will not be considered.
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