Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Fraunhofer-Gesellschaft
- Forschungszentrum Jülich
- Technical University of Munich
- Leibniz
- Nature Careers
- DAAD
- University of Tübingen
- Heidelberg University
- University of Stuttgart •
- Heidelberg University •
- Max Planck Institute for Dynamics and Self-Organization, Göttingen
- WIAS Berlin
- EBS Universität für Wirtschaft und Recht •
- Friedrich Schiller University Jena •
- Goethe University Frankfurt •
- Hannover Medical School •
- Humboldt-Stiftung Foundation
- Ludwig-Maximilians-Universität München •
- Max Planck Institute for Heart and Lung Research, Bad Nauheim
- Max Planck Institute for Chemical Energy Conversion, Mülheim an der Ruhr
- Max Planck Institutes
- RPTU University of Kaiserslautern-Landau •
- Technical University of Darmstadt •
- Technische Universität Darmstadt
- University of Bamberg •
- University of Bonn •
- University of Bremen •
- University of Cologne •
- University of Duisburg-Essen •
- University of Göttingen •
- University of Konstanz •
- Universität Düsseldorf
- 22 more »
- « less
-
Field
-
and control of variables that influence the coating outcome. This data not only aids in optimizing production processes but also plays a crucial role in compliance with industry standards and
-
optimization, including their validation and documentation Contributing your own ideas, concepts and process improvements What you bring to the table Completed scientific university degree (Master's, Diploma) in
-
optimizations (e.g., Access Traffic Steering, Switching, and Splitting (ATSSS)) for contributing to relevant standardization bodies Implementing prototypes involving congestion control and multipath over QUIC
-
shape change! We offer you optimal conditions for the successful completion of your doctorate: The opportunity to complete a doctoral thesis within 3 years through professional supervision and internal
-
of energy system analysis, renewable energy systems or thermodynamics or comparable First experience in optimization or statistics is advantageous Knowledge of an object-oriented programming language (e.g
-
on the recently published DeepRVAT framework, which leverages advances in machine learning to learn an optimal rare variant aggregation function in a data-driven manner. You will have the opportunity to spend
-
exchange and interaction state of the art computing infrastructure (HPC) salary assigned according to the pay scale UKF standard social benefits, e.g. UKF job ticket UKF Your tasks: develop and optimize
-
transmission schemes, protocols and cross-layer optimizations for contributing to relevant standardization bodies Implement prototypes involving machine learning techniques to optimize for latency, reliability
-
. Using a techno-economic optimization approach based on the Python-based open-source framework ETHOS.FINE, regionalized hydrogen cost potentials are derived to support decision making in industry, policy
-
system for H2 production. This thesis will focus on optimization of innovative coating methods to fabricate and characterize MEAs and evaluate their electrochemical performance. What you will do Experiment