Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Forschungszentrum Jülich
- Technical University of Munich
- Leibniz
- Nature Careers
- Fraunhofer-Gesellschaft
- University of Göttingen •
- ;
- Heidelberg University
- Leipzig University •
- Ludwig-Maximilians-Universität München •
- University of Potsdam •
- University of Tübingen
- Administrative Headquarters of the Max Planck Society, Munich
- Deutsches Elektronen-Synchrotron DESY •
- Frankfurt School of Finance & Management •
- Justus Liebig University Giessen •
- Max Planck Institute for Biogeochemistry, Jena
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- 9 more »
- « less
-
Field
-
for the automatic generation of future energy technology scenarios based on LLMs, patent data, and scientific literature Investigating the system-level conditions under which future technologies like fusion and
-
understanding of tropical process representation. Extensive experimental data from previous ATTO phases, including phenocam and eddy-covariance observations, but also functional traits of species will be used
-
, Management Science, Business Analytics, or a related field. Strong analytical skills with experience in AI, machine learning, or data analytics. Very good English skills in writing and communication
-
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
-
information on beginning, duration and mode of study No specific regulations Application deadline No specific deadlines Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint
-
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 inorganic ions and organic matter can cause defects in electrolyser stacks, resulting in costly process disruptions. This project considers: i) development of analytical methods for the quantification
-
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 The complete design and implementation of analog circuits including
-
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