- Participate in research activities involved in the biomedical image analysis. This includes filtering, segmentation, feature extraction, enhancement, implementation and deployment of image analysis algorithms
- Participate as a team member in experimental design and data analysis
- Coordinate publications related to the project and scientific results
- Work in close collaboration with LCSB members on scientific projects
- Master's degree or equivalent in bioinformatics, computational biology, medical engineering, computer science, with an interest in biomedical informatics and translational medicine
- Hands-on experience of medical image analysis in health research or industry for at least 3 years using MATLAB and/or Python environment
- MATLAB - Expertise in Image Processing Toolbox for image enhancement, segmentation, and feature extraction is required. Experience App Designer for interface development are advantageous. (and/or)
- Python - Expertise in image processing with Python with common libraries including NumPy and SciPy for matrix and statistical analysis, OpenCV for computer vision, Scikit-Image, Matplotlib and Seaborn for data visualisation is required. Experience with Machine Learning Libraries (e.g , PyTorch, scikit-learn), dashboarding libraries (Plotly-Dash) and Jupyter Notebooks are advantageous
- Familiarity with healthcare imaging data standards (DICOM, NiFTi) is required and the ability to work with Electronic Health Records (EHR) systems is advantageous
- Familiarity with UNIX systems including SHELL or AWK scripting
- Experience in working on High-Performance Computing (HPC) environment is a strong advantage.
- Excellent verbal and written communication skills and the ability to articulate clearly scientific and technical needs
- Excellent capacity to work with others in a collaborative environment
- Excellent work environment with state-of-the-art infrastructure, laboratory and administrative support
- Truly connected. We work together with hospitals and research institutes on a national and international level as well as industrial partners. Connection between science and society is very important to us. From our school lab - the Scienteens Lab - to the different outreach activities and collaborative partnerships with patient associations, we love to listen to society's needs and share our passion for science
- Be part of a multicultural team. At the LCSB we have more than 50 nationalities. Throughout the year, we organise team-building events, networking activities and more
- A detailed curriculum vitae (CV)
- A cover letter describing your motivation to join our group, how you fit in the group and most recent work experiences
- Contact information and recommendation letters from at least 3 referees
- Contract type: Fixed Term Contract 36 Month (extension possible)
- Work hours: Full Time 40.0 Hours per Week
- Location: Belval
- Internal title: Research and development specialist
- Job reference: UOL06299
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Research & Development Specialist - Bio Medical Image Analysis - Luxembourg, Esch-sur-Alzette - Université du Luxembourg
Description
About us...
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.
Your Role...
What we expect from you...
Here's what awaits you at the LCSB...
Find out more about us
How to apply...
Applications should be submitted online and include:
Early application is highly encouraged, as the applications will be processed upon reception. Please apply formally through the HR system. Applications by email will not be considered.
The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.
General information: