Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Technical University of Munich
- DAAD
- Forschungszentrum Jülich
- Fraunhofer-Gesellschaft
- Heidelberg University
- Nature Careers
- Academic Europe
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Bruker Nano GmbH
- Deutsches Elektronen-Synchrotron DESY •
- Fraunhofer IWES
- Helmholtz-Zentrum Geesthacht
- Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ
- Leibniz
- Max Planck Institute for Molecular Genetics •
- Max Planck Institute for Terrestrial Microbiology, Marburg
- Max Planck Institutes
- Paderborn University
- Saarland University •
- TECHNISCHE UNIVERSITAT DRESDEN (TU DRESDEN)
- University of Bremen •
- University of Oldenburg
- University of Tübingen
- 13 more »
- « less
-
Field
-
expertise in the field of magnetic resonance imaging at 7T and susceptibility mapping Develop and implement MRI sequences, acceleration techniques and A.I. algorithms for the acquisition and analysis
-
implement self-learning control algorithms that balance computational demand and modeling precision. You will evaluate, interpret, and combine the results from experimental modal analyses and other tests. You
-
mathematical problem-solving skills Enjoy applied mathematical optimisation and motivation to implement your models and algorithms in software Ideally knowledge of mathematical modelling and numerical methods
-
Enjoy applied mathematical optimisation and motivation to implement your models and algorithms in software Ideally knowledge of mathematical modelling and numerical methods, for example from non-linear
-
05.04.2023, Wissenschaftliches Personal We are the Autonomous Vehicles Systems (AVS) Lab and are interested in the algorithmic foundations of path and behaviour planning, control and automated
-
05.04.2023, Wissenschaftliches Personal We are the Autonomous Vehicles Systems (AVS) Lab and are interested in the algorithmic foundations of path and behaviour planning, control and automated
-
03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and
-
03.06.2021, Wissenschaftliches Personal The Albarqouni lab develops innovative deep Federated Learning (FL) algorithms that can distill and share the knowledge among AI agents in a robust and
-
. The project focuses on developing information theory, coding schemes, and other algorithmic methods for DNA data storage. Here is a video on the topic: https://www.bbc.com/future/article/20151122-this-is-how
-
remote sensing imagery (e.g. roof material and condition, wall materials, type of building) Generating results from these algorithms for areas requested by our industry partner Documenting and packaging