Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Technical University of Munich
- Leibniz
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Nature Careers
- Brandenburg University of Technology Cottbus-Senftenberg •
- Technische Universität Berlin •
- Deutsches Elektronen-Synchrotron DESY •
- Free University of Berlin
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- RPTU University of Kaiserslautern-Landau •
- University of Bremen •
- University of Göttingen •
- University of Münster •
- University of Potsdam •
- University of Tübingen
- University of Tübingen •
- 9 more »
- « less
-
Field
-
structures; - experience in organizational work; - ability to work independently while solving conceptual tasks and high innovation capacity; - good knowledge of German - excellent knowledge of English
-
to submit the dissertation after 3 years and 9 months of research. Desired requirements specific to this project include: experience with a range of relevant computer programming languages such as Python, R
-
Bioinformatics, Computational Biology, Computer Science, Biomedical Engineering, Computer Engineering, Genetics/Genomics or related field experience with ‘omics platform output experience with biological datasets
-
are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we
-
Specifications. The PhD topic consists of two parts, the weighting of which can be adjusted. First, natural frequencies of different UAV categories for different power settings shall be modelled. Second, based
-
frequencies of different UAV categories for different power settings shall be modelled. Second, based on mesoscale fluid dynamic simulations, microclimatic and turbulence modelling procedures in urban
-
are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we
-
, both written and verbal Knowledge of German and/or a willingness to learn Computer/programming literacy, for example in R, and/or software used in image processing (Adobe Photoshop, ImageJ etc.) Ability
-
for Electrical Drives, Power Electronics and Devices Institute of Automation Institute for Microsensors, -Actuators and -Systems Institute of Electrodynamics and Microelectronics Institute for Telecommunications
-
are using ferroelectric memories, which can calculate AI algorithms from the field of deep learning in resistive crossbar structures with extremely low power consumption and high speed. Furthermore, we