Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
significantly impact next-generation experiments at large facilities. Tasks: This project will develop innovative ultracold neutron detectors, using superconducting microstructures for spin- and energy
-
The main task is the further development of methods for the non-destructive investigation of the pyramids of Giza in Egypt (World Cultural Heritage) in cooperation with our partners by using acoustic imaging
-
– depending on the successful candidate’s background and interests. Your tasks: Develop new exact and approximation algorithms and perform complexity analyses for optimization problems on (temporal) graphs
-
scientific development of this Working Group to support the Food Systems Biology approach at the Leibniz-LSB@TUM • Acquisition of third-party funding and scientific management of the research projects
-
, conference participation, and doctoral training are available. Candidates are expected to participate and successfully complete the doctoral program at the TUM School of Management. Further information
-
research studies for automated image analysis. In particular, you will: Plan, develop, and implement AI/ML algorithms for pathology image analysis. Integrate multi-modal data (e.g., genomics, clinical data
-
synthesized responses generated by AI-driven search engines? How does recommendation sentiment change with content presentation? Can we develop quantitative and qualitative metrics that accurately forecast
-
at the forefront of technology. As a key member of the detector team, you will play a leading role in the development, integration, and commissioning of complex detector systems for newly planned or upgraded
-
to remote sensing and simu-lation modeling. A particular focus of our work is on mountain forest ecosystems. A quantitative understanding of ecosystem dynamics provides the foundation for the development
-
pages or friendships between users in a social network. Due to the large variety in data science tasks performed with graph-structured data, different specialized systems have been developed, such as