Sort by
Refine Your Search
-
Listed
-
Employer
- Fraunhofer-Gesellschaft
- Technical University of Munich
- Forschungszentrum Jülich
- Nature Careers
- Leibniz
- University of Tübingen
- Academic Europe
- Heidelberg University
- Free University of Berlin
- Karlsruher Institut für Technologie (KIT)
- Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- Max Planck Institute for Intelligent Systems, Tübingen site, Tübingen
- Max Planck Institute of Biochemistry, Martinsried
- TECHNISCHE UNIVERSITAT DRESDEN (TU DRESDEN)
- University of Potsdam
- 6 more »
- « less
-
Field
-
(link ). Our expertise comprises various aspects of quantum computing, from quantum chemistry and optimization to machine learning (ML). With our activities in quantum-assisted optimization, we
-
Your Job: As part of your work, you will support the development of sustainable strategies for the establishment of a regional bioeconomy. You will work with current methods of linear optimization
-
Quality”, we focus on data-driven optimization of production processes with the help of machine learning and artificial intelligence. Laser processes enable highly precise and flexible material processing
-
optimized for use in food. A comprehensive understanding of the influencing factors can simplify the targeted use of ingredients in food. In addition, various chemical, enzymatic or physical methods can be
-
substantially reduces GHG emissions, reliance on a carbon intensive electricity grid remains a key environmental challenge. In this thesis, optimization tools will be used to determine the optimal design and
-
software simulations and modeling, we can optimize the quality, efficiency, functionality, and control of hybrid systems. For our group "Concentrating Systems and Technologies," we are looking for a student
-
and implement battery control algorithms to optimize energy management systems, including E-mobility. You investigate and implement algorithms for controlling the charging of electric vehicles. You
-
gas diffusion layers to supplement or replace conventional catalyst layers. The aim is to establish marine microbial consortia that optimally support H2 production under the conditions prevalent in
-
Genome-Scale Metabolic Models (GEMs) and multi-omics data for optimizing biomethane production in biogas plants. Specifically, the study aims to investigate anaerobic digestion processes in biogas plants
-
ultra-reliable state estimation and control. With rising renewable energy integration, operators need certifiable performance guarantees to prevent blackouts while optimizing grid efficiency. Current