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.
In the group of Analysis of Microscopic BIOMedical Images (AMBIOM) within the department Biospectroscopy in Dortmund we invite applications for a:
Masters Intern (m/f/d): Machine learning and bioimage analysis
In this group we have an opportunity for a Masters Internship project to conduct high dimensional data analysis studies on bioimage informatic problems. Currently, the AMBIOM group has extensive collaborations with local, national, and international partners on a wide range of bioimage analysis problems, such as cell tracking, high dimensional image segmentation, in-silico labeling, image registration, etc. We are developing algorithms and tools to address these bioimage analysis problems, which are all driven by real biomedical research. Depending on the background and interest, the student will have the opportunity to join a specific project to develop data analysis methods to assist biomedical discoveries during the thesis project for six months or more.

• Literature study on related bioimage analysis and data analysis publications, especially those works involving high dimensional data or multi-modal data
• Implement baseline solutions, conduct systematic comparison, and investigate potential improvements
• Summarize the project as an open-source package and/or open-access publication