Sort by
Refine Your Search
-
Listed
-
Employer
- Technical University of Munich
- Fraunhofer-Gesellschaft
- University of Bremen •
- University of Münster •
- University of Tübingen
- Deutsches Elektronen-Synchrotron DESY •
- FAU Erlangen-Nürnberg •
- Forschungszentrum Jülich
- Hertie School •
- Karlsruhe Institute of Technology •
- Max-Delbrück-Centrum für Molekulare Medizin
- RPTU University Kaiserslautern-Landau •
- Saarland University
- Technical University of Darmstadt •
- Technische Universität München
- University of Bamberg •
- University of Oldenburg
- University of Tübingen •
- 8 more »
- « less
-
Field
-
on futuristic technologies in the field of machine learning and computer vision. Hence, we investigate and develop an innovative computation-in-memory (CIM) solution for artificial intelligence accelerator design
-
: Design, implement and characterize innovative sensing systems based on different sensing principles such as ultrasonic, optical and chemical sensors. Investigate sensor behavior under varying environmental
-
multiple technological platforms - photonics, electronics, biological neurons. Responsibilities and tasks This PhD project aims to (1) optimize the design of hybrid electrical–optical computing architectures
-
Munich form 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
-
design of complex physical systems. The group is jointly embedded at Saarland University and DFKI in Saarbrücken. Current Research Directions include: AI for scientific computing – neural operators and
-
three connectivity levels (none, medium, high) to test spatial dynamics of RD. Your Responsibilities Create a Personal Career Development Plan (PCDP) outlining research objectives, timelines, skill
-
problem. Do a theoretical analysis of the assigned problem using tools from information theory and related fields. Design a solution which is implementable on a computer and in hardware. Collaborate with
-
fields. Design a solution which is implementable on a computer and in hardware. Collaborate with colleagues to implement the solution in hardware at the ACES lab at the Institute of Theoretical
-
, ethical and legal dimensions of science and technology. Embedded in TUM’s unique innovation ecosystem, we are committed to enabling a more responsible and sustainable engagement with science and innovation
-
Learning at TUM works on machine learning, artificial intelligence, and information processing, with a current focus on foundation models, data-centric research, and applications to scientific and medical