33 data-"https:" "https:" "https:" "https:" Postdoctoral positions at Technical University of Munich
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
environments, approaches related questions in an interdisciplinary manner (i.e., at the intersection of psychology, technology, and human–computer interaction). We welcome candidates with a strong interest in
-
international environment, demonstrates strong problem-solving abilities, and is committed to advancing cutting-edge research. Information about the application process We look forward to receiving your
-
referees in a single PDF to the head of the Chair group, Professor Johannes Sauer ([email protected] ). For further information, please contact Maria Vrachioli, PhD ([email protected] ) or Dr. Fabian
-
Munichform one of Europe's leading centers for biomedical imaging and sensing innovation. Our mission is to create transformative technologies that reveal previously inaccessible biological information and
-
Robot Learning (ID: TUEILSY-POSTDOC20251219-RL) Robots that learn from data promise greater autonomy and performance, but their deployment in the real world hinges on the ability to guarantee safety
-
Chair of Biological Imaging 10.02.2026, Academic staff We now seek a highly qualified and motivated Post-doctoral researcher (f/m/d) to drive the development of methods for optoacoustic data
-
quantitative, real-time multimodal mesoscopic and microscopic imaging. • Contribute to real-time software development for system control, data acquisition, multimodal image reconstruction, and quantitative
-
actively seek, select, and evaluate information to learn about the world. This is an open-topic position for doctoral or postdoctoral researchers who wish to pursue their own research ideas within the broad
-
at the interface of quantum information, condensed matter and high-energy physics. A strong background and interest in one or more of the following topics is desirable: - Quantum computing with qudits, quantum error
-
of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning