Jobbeschreibung
The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early diagnosis, and therapy of diseases like cardiovascular diseases, autoimmune diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry, pharmacology, physics, and computer science. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states.
At our location in Dortmund we invite applications for a
Scientist / Postdoc (m/f/d): Analysis of Microscopic BIOMedical Images (AMBIOM)
- Develop scalable microscopy image analysis workflows for real interdisciplinary applications in biomedical research
- Develop multi-modal machine learning algorithms for integrating multi-omics analytical data and microscopy image data
- Establish FAIR microscopy data management system within the institute
- Work with software engineers and students in the team to build public AI-ready data portal
- Coordinate interdisciplinary cross-team projects and lead the development of computational tools
- Report findings and methods in conference and journal papers
- Conduct software demo and tutorials at national and international workshops
- University degree in computer science/computer engineering/statistics/applied mathematics/data science/biomedical engineering or of relevant scientific field
- A solid background in machine learning
- Extensive experience in either general computer vision or microscopy image analysis
- Extensive hands-on skills with Python and PyTorch
- Experience with foundation models (vision large models or multi-modal large language models)
- Good presentation and writing skills
- Proactive, independent, and solution-oriented way of working
- Fluent English (spoken and written)
- Publications at top-tier computer vision conference or journals is a plus
- Experience with open-source software development is a plu
- Scientific development opportunities in an international cooperative, interdisciplinary research environment and an excellent working atmosphere in a very dynamic and professional team
- Extensive state-of-the-art equipment and infrastructure, including sufficient GPUs for machine learning model development
- The opportunity to present your data on international conferences and participate in workshops