Research and Development Specialist – Bio Medical Image Analysis

Updated: about 12 hours ago
Deadline: ;

The Luxembourg Centre for Systems Biomedicine (LCSB) is an interdisciplinary research centre of the University of Luxembourg. We conduct fundamental and translational research in the field of Systems Biology and Biomedicine – in the lab, in the clinic and in silico. We focus on neurodegeneration and are especially interested in Alzheimer’s and Parkinson’s disease and their contributing factors. 

The LCSB recruits talented scientists from various disciplines. Computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly interdisciplinary and together, we contribute to science and society.

Successful candidates will join the Bioinformatics Core, led by Prof. Reinhard Schneider, which focuses on managing and analysing complex biomedical and clinical data. We are internationally recognized for our cutting-edge data handling, analysis and mining including GDPR compliant data hosting solutions, data management systems and high performance and throughput approaches. We develop innovative methodologies for data mining, federated data analysis, and data FAIRification. We strongly advocate following responsible and reproducible research (R3) principles and best practices in software development.  For more information, please visit our website.

We are looking for a (Bio)Informatician to analyse multiscale and heterogenous imaging data including high content/high-throughput and electron microscopy data of cells, organoids and neuroimaging datasets of human and animal models by machine-learning and AI approaches. The (Bio)Informatician will interact with scientific researchers, post-doctoral fellows and research technicians of the different groups at the LCSB to explore and analyze large and multimodal datasets (including cellular and in vivo microscopy data, clinical and healthcare imaging data as well as multiomics) in the area of neurogenerative diseases, especially Parkinson’s and Alzheimer’s Diseases.



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