Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- Nature Careers
- Leibniz
- Forschungszentrum Jülich
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Heidelberg University
- Max Planck Institute for Demographic Research (MPIDR)
- Fraunhofer-Gesellschaft
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum Hereon
- Karlsruher Institut für Technologie (KIT)
- Leibniz-Institut für Alternsforschung – Fritz-Lipmann-Institut e. V. (FLI)
- Max Planck Institute for Demographic Research, Rostock
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute for Solid State Research, Stuttgart
- Technische Universität Ilmenau
- University of Tübingen
- 8 more »
- « less
-
Field
-
, or machine learning is also appreciated. PhD: The candidate is expected to have some background in theoretical computer science, including some of the following areas: automata, logic, games, verification
-
finished his/her Master’s degree or PhD degree in computer science. We offer - You work in a highly innovative environment - Technical supervision at one of the leading universities of Germany - Employment
-
06.12.2021, Wissenschaftliches Personal The professorship of Data Science in Earth Observation is seeking six new PhD candidates/PostDocs for its new center for Machine Learning in Earth Observation
-
focus on deep networks for solving inverse problems, learning robust models from few and noisy samples, and DNA data storage. The position is in the area of machine learning, with a focus on deep learning
-
network with partners from science and industry and take on responsibility at the chair right from the start. In your role as a post-doc, you will combine team and institute-oriented tasks with in-depth
-
., for quantum computing, microfluidics, or conventional circuits and systems. Our focus on interdisciplinary partnerships and networks will enable you to meet many interesting people (at places all over the world
-
education, the IPN’s research line on science communication, and visual science communication research at the Kiel Science Communication Network (kielscn.de). We provide a collaborative and dynamic research