Sort by
Refine Your Search
-
Listed
-
Employer
- Fraunhofer-Gesellschaft
- Technical University of Munich
- Nature Careers
- Forschungszentrum Jülich
- Leibniz
- ;
- DAAD
- CISPA Helmholtz Center for Information Security
- Free University of Berlin
- Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ
- Otto-von-Guericke-Universität Magdeburg
- RWTH Aachen University
- Senckenberg Gesellschaft fuer Naturforschung
- Technische Universität Braunschweig
- Technische Universität München
- 5 more »
- « less
-
Field
-
-omics data sets generated with innovative high-throughput technologies used in Research Sections I and II (e.g. sensory, metabolome, proteome and transcriptome data) by using efficient algorithms and
-
software frameworks Development of new signal processing algorithms (PHY/MAC) in conjunction with software-defined radio hardware Development and validation of AI/ML methods for mobile communications systems
-
algorithm development? Join us to explore innovative technologies and make a real impact in the field of energy systems! Together we develop innovative solutions and test your tools with hardware integration
-
algorithm development? Join us to explore innovative technologies and make a real impact in the field of energy systems! Together we develop innovative solutions and test your tools with hardware integration
-
you will do Driving innovative AI research through the development and implementation, practical application, theoretical analysis and evaluation of AI algorithms Use of XAI tools to explain machine
-
Learning Algorithm for Grid Optimization linked to Bayesian uncertainty outputs Test bidirectional interaction: Bayesian updates → Reinforcement Learning policy adaptation → grid performance feedback
-
promising alternative to classic methods of process optimization due to its adaptive decision making and data efficiency. In this thesis, a BO algorithm for the optimization of laser processes is to be
-
concise code Diligence in implementing, testing and documenting algorithms and results Curiosity about a deeper understanding of Deep Learning architectures What you can expect Fascinating challenges in a
-
environment. We are creative, we shape technology, we design products, we improve processes, we open up new paths. Our clients value our modelling competence, algorithms and software products. We
-
, but also in traffic monitoring or in the media context, for example when it comes to automatic metadata extraction and audio manipulation detection. Another focus is the development of algorithms