Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- DAAD
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Nature Careers
- University of Tübingen
- Brandenburg University of Technology Cottbus-Senftenberg •
- GFZ Helmholtz Centre for Geosciences
- Leibniz
- University of Münster •
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Deutsches Elektronen-Synchrotron DESY •
- Hannover Medical School •
- Heidelberg University
- Helmholtz-Zentrum Geesthacht
- Heraeus Covantics
- Hertie School •
- Karlsruhe Institute of Technology (KIT)
- Karlsruhe Institute of Technology •
- Karlsruher Institut für Technologie (KIT)
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- Max Planck Institute for Meteorology •
- Max Planck Institute for Sustainable Materials GmbH, Düsseldorf
- Max Planck Institute for Sustainable Materials •
- Max Planck Institute of Biochemistry •
- Max Planck Institutes
- RWTH Aachen University
- TU Dresden
- Technical University of Darmstadt •
- Technische Universität Berlin •
- University of Bremen •
- University of Göttingen •
- University of Potsdam •
- 26 more »
- « less
-
Field
-
environment; materials; mathematics in sciences, engineering, and economics; humans and technology. KIT stands for a research-oriented and student-oriented teaching and learning culture. After having completed
-
Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUD has established the Collaborative
-
Research Back Profile Areas Cluster of Excellence CMFI Cluster of Excellence GreenRobust Cluster of Excellence HUMAN ORIGINS Cluster of Excellence iFIT Cluster of Excellence Machine Learning Cluster
-
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
-
science and information science techniques. Several areas of computer science and mathematics play important roles: data management and engineering, machine learning and data analytics, signal and image
-
Science Engineering have the opportunity to learn a broad spectrum of methods through laboratory rotation. This can help students gain experience in different research areas and develop new skills that may
-
focused on the oceans and the global climate, the future of industrial production, the social conflicts of modern welfare states, the interfaces between digital technology and humans (Minds, Media, Machines
-
of embedded machine learning, neuromorphic hardware and deep learning accelerators. Want to get more information? Click here. What you will do The complete design and implementation of analog circuits including
-
Infrastructures Didactics of Informatics Digital Humanities Distributed Systems High-Performance Storage Machine Learning Medical Informatics Neural Data Science Practical Informatics Scientific Information
-
subjects, high interdisciplinary desire to learn, and willingness to cooperate, openness for internationalization and diversity, very good verbal and written English communication skills (good command