Scholarship: Fully-funded
Degree: Bachelor, Master, Ph.D
Nationality: International Students
Location: Germany
Application deadlines: Open
Scholarship Description:
The Leibniz Institute for Analytical Sciences (ISAS e.V.) develops efficient analytical methods for health research to improve the prevention, early diagnosis, and treatment of diseases like cardiovascular conditions, autoimmune diseases, and cancer. The institute advances precision medicine by integrating knowledge from biology, chemistry, pharmacology, physics, and computer science. ISAS is a member of the Leibniz Association and receives public funding from the Federal Republic of Germany and its states.
Dr. Jianxu Chen, who leads the research group, graduated from the University of Science and Technology of China in 2011 and obtained his PhD in Computer Science from the University of Notre Dame under Professor Danny Chen in 2017. He then joined the Allen Institute for Cell Science in Seattle as a research scientist, where he led R&D and deployment of AI-based microscopy image analysis algorithms and the public release of a million-cell image database, published in Nature in January 2023.
Since September 2021, he has established the independent AI lab AMBIOM (Analysis of Microscopic BIOMedical images) at ISAS, focusing on large-scale biomedical image data analysis using AI.
His work has been presented at conferences such as NeurIPS, AAAI, MICCAI, ISBI, and BIBM, and published in journals including Nature Machine Intelligence, Nature Methods, Nature Communications, Nature Cardiovascular Research, and IEEE TMI.
Research group homepage: Microscopy Machine Vision Lab
Available Subjects:
Machine Vision/Multi-Modal Large Models
Eligibility criteria:
- Develop machine vision algorithms for real interdisciplinary applications in biomedical research.
- Create multi-modal large models for integrating multi-omics analysis data and microscopy image data.
- Develop generative AI models for application in microscopy image research. Collaborate with software engineers and students to build an AI-focused public data portal.
- Coordinate interdisciplinary cross-team projects and lead the development of computational tools.
- Report research findings and methods at conferences and in journal papers.
- Present software demonstrations and tutorials at national and international workshops.
Application Procedure:
For more details and the application link, please visit: Open Positions – ISAS
Alternatively, you can directly contact Dr. Jianxu Chen at: [email protected]
