Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Ghent University
- Forschungszentrum Jülich
- ;
- Nature Careers
- University of Groningen
- Cranfield University
- Technical University of Denmark
- University of Tübingen
- Chalmers University of Technology
- DAAD
- Linköping University
- NTNU - Norwegian University of Science and Technology
- Wageningen University and Research Center
- Technical University of Munich
- University of Stuttgart •
- Abertay University
- Curtin University
- Empa
- Fraunhofer-Gesellschaft
- SciLifeLab
- Umeå University
- University of Luxembourg
- University of Southern Denmark
- University of Twente
- ; Brunel University London
- ; Swansea University
- ; University of Bristol
- ; University of Warwick
- Aalborg University
- CWI
- EBS Universität für Wirtschaft und Recht •
- Erasmus University Rotterdam
- Friedrich Schiller University Jena •
- Goethe University Frankfurt •
- Hannover Medical School •
- Harper Adams University
- Heidelberg University •
- KNAW
- Leibniz
- Ludwig-Maximilians-Universität München •
- Lulea University of Technology
- Mid Sweden University
- Monash University
- Mälardalen University
- National Research Council Canada
- Norwegian University of Life Sciences (NMBU)
- RPTU University of Kaiserslautern-Landau •
- Swedish University of Agricultural Sciences
- Technical University of Darmstadt •
- University of Adelaide
- University of Bamberg •
- University of Bremen •
- University of British Columbia
- University of Duisburg-Essen •
- University of Göttingen •
- University of Konstanz •
- University of Minnesota
- University of Minnesota Twin Cities
- University of Newcastle
- University of Pittsburgh
- University of Tennessee at Chattanooga
- WIAS Berlin
- 52 more »
- « less
-
Field
-
. Integrate hydraulic-hydrologic modeling and surrogate models (e.g., Bayesian Networks) to simulate stormwater behavior under future scenarios. Apply optimization techniques to design and evaluate nature-based
-
Networks, and ICT Services & Applications. Your role The SigCom research group of SnT, headed by Prof. Symeon Chatzinotas, focuses on wireless/satellite communications and networking. The research areas
-
techniques from optimization and control theory, scientific machine learning, and partial differential equations to create a new approach for data-driven analysis of fluid flows. The successful applicant will
-
resource-constrained environments, and it is important to investigate whether features derived from different network layers can be effectively combined. Machine Learning Model Development & Optimization
-
—critical capabilities enabling a wide range of robotic applications. As a PhD student, you will receive academic and pedagogical training and become part of a dynamic, international research community and
-
on testing a set of promising pre-identified catalysts in the existing experimental set-up. Based on your findings, you will optimize the catalytic systems and/or adapt the experimental plant to achieve
-
the power of AI/ML and software-defined networking (SDN), and distributed learning methodologies, the research will focus on creating self-configuring, self-optimizing, and self-healing mechanisms for real
-
Research - Communication (Level 2) Research - Creative thinking (Level 2) Research - Initiative (Level 2) Research - Networking (Level 2) Research - Results orientation (Level 2) Research - Teamwork (Level 2