Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Fraunhofer-Gesellschaft
- Leibniz
- Forschungszentrum Jülich
- Humboldt-Stiftung Foundation
- Nature Careers
- Technical University of Munich
- University of Göttingen •
- Hannover Medical School •
- Ludwig-Maximilians-Universität München •
- University of Potsdam •
- Friedrich Schiller University Jena •
- Helmholtz-Zentrum Geesthacht
- Leipzig University •
- Max Planck Institute for Biogeochemistry •
- Max Planck Institute for Human Cognitive and Brain Sciences •
- Max Planck Institute for Molecular Genetics •
- Max Planck Institute for Sustainable Materials •
- Max Planck Institute for the Structure and Dynamics of Matter •
- Max Planck Institute of Molecular Plant Physiology •
- Technische Universität Berlin •
- University of Cologne •
- University of Stuttgart •
- WIAS Berlin
- 14 more »
- « less
-
Field
-
focuses on decoding the structure and function of matter, from the smallest particles of the universe to the building blocks of life. In this way, DESY contributes to solving the major questions and urgent
-
Your Job: Maintain, and update quantitative methods for assessing economic impacts of the energy transition at the national and regional levels Develop dynamic and multisectoral economic models
-
Max Planck Institute for the Structure and Dynamics of Matter • | Hamburg, Hamburg | Germany | 13 days ago
Planck Research School for Ultrafast Imaging & Structural Dynamics (IMPRS-UFAST) is a joint venture of the Max Planck Institute for the Structure and Dynamics of Matter, Deutsches Elektronen Synchrotron
-
suitable candidate to carry out this exciting and challenging project, which will bring unprecedented information about structure-property relationships in this popular class of organic semiconductor devices
-
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
-
, sense amplifiers or memories Implement and verify circuit layouts through simulation Utilize advanced CMOS technology nodes (28nm, 22nm, and below) Develop behavioural models for circuit verification
-
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
-
, whereas the integrated track is the structured doctoral model that, with regard to the interdisciplinary scope, is designed to allow completion of the doctoral project within a time frame of three years
-
three-year structured PhD programme, allowing the students to collect the necessary European Credit Transfer System (ECTS) points to obtain their PhD in Medical Research. MD students are welcome to join
-
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