Sort by
Refine Your Search
-
Category
-
Employer
- DAAD
- Technical University of Munich
- Nature Careers
- Fraunhofer-Gesellschaft
- University of Tübingen
- Brandenburg University of Technology Cottbus-Senftenberg •
- Leibniz
- University of Münster •
- Deutsches Elektronen-Synchrotron DESY •
- Forschungszentrum Jülich
- Hannover Medical School •
- Helmholtz-Zentrum Geesthacht
- Hertie School •
- Karlsruhe Institute of Technology •
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Meteorology •
- Max Planck Institute for Sustainable Materials •
- Max Planck Institute of Biochemistry •
- Max Planck Institutes
- Technical University of Darmstadt •
- Technische Universität Berlin •
- University of Göttingen •
- University of Potsdam •
- 15 more »
- « less
-
Field
-
open PhD positions throughout the year. Learn more about PhD opportunities at the Hertie School and the relevant application deadlines here . Further information on the application procedure can be found
-
of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do Stay engaged with the latest research, experimenting with cutting
-
of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do Design analog and mixed-signal circuits, such as data converters
-
of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do Design innovative memory arrays for non-volatile memories Develop
-
oceanography), chemistry, ecology, mathematics, computer science, engineering, economics, or political science Since the programme focuses strongly on numerical simulations, candidates with computer literacy
-
of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do Responsible for RTL design (VHDL, Verilog) of digital blocks and
-
of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do Responsible for writing Verilog/ VHDL code for AI blocks Perform
-
ranges from core areas of computer science and electronics over medical applications to societal aspects of AI. SECAI’s main research focus areas are: Composite AI: How can machine learning and symbolic AI
-
streaming and batch processing. These efforts provide the foundation for advanced analytics, machine learning, and AI applications. The IDE Research School guides PhD researchers by offering a platform for
-
, medical informatics, databases, data mining, machine learning, applied mathematics, biomedical modelling and analysis of complex networks. Joint data science projects between the different partners