Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Technical University of Munich
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Brandenburg University of Technology Cottbus-Senftenberg •
- Leibniz
- University of Potsdam •
- CISPA Helmholtz Center for Information Security
- Carl von Ossietzky Universität Oldenburg
- Friedrich Schiller University Jena
- Hertie School •
- Julius-Maximilians-Universität Würzburg •
- Karlsruhe Institute of Technology •
- Leibniz Institute of Ecological Urban and Regional Development (IOER) •
- Leibniz-Institute for Plant Genetics and Crop Plant Research
- Leipzig University •
- Ludwig-Maximilians-Universität München •
- Nature Careers
- Saarland University •
- TU Dresden
- Technische Universität Berlin •
- Ulm University •
- University of Kassel •
- University of Stuttgart
- 14 more »
- « less
-
Field
-
architectures [5] and Neural ODEs [2], creating a cohesive end-to-end hydrological model. Transformers will be utilized to pre-process and analyse the raw input data, capturing essential spatial and temporal
-
understanding of how genomic architectures drive soil carbon sequestration and will highlight microbial biodiversity suited to specific soils and climates, paving the way for more sustainable soil management
-
architectures, capable of capturing the structure of complex, high-resolution NMR spectra – analogous to how language models such as ChatGPT learn the structure of human language. One of the primary goals is to
-
Leibniz Institute of Ecological Urban and Regional Development (IOER) • | Dresden, Sachsen | Germany | about 17 hours ago
Dresden University of Technology Course location Dresden In cooperation with Dresden University of Technology Teaching language English Languages The programme is conducted in English. Full-time / part-time
-
innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry tools
-
The Quantitative Genetics research group is interested in developing statistical genomics toolboxes to decipher the genetic architecture of important crop traits like grain yield heterosis. In
-
research focuses on the study of quantum magnetism at the atomic scale. We build artificial quantum architectures from single atoms and molecules on surfaces and on probe tips, control their spin states, and
-
their system-level integration Develop design architecture and break down requirements into functional blocks Create and execute test benches for RTL and timing simulations Perform formal verification
-
, logical methods, programming languages, computer architecture, and security, to name but a few of the more prominent areas. The graduate school is home to more than 540 doctoral candidates in all fields
-
scope of different subjects such as electrical engineering/electronics, microelectronics, microsystems technology, information technology, computer science, physics, chemistry, optics and manufacturing