192 high-performance-quantum-computing-"https:"-"https:"-"Univ" PhD positions in Germany
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Field
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: Developing and applying simulation and optimization models to analyze energy flows, operational strategies and design decisions in a multi-energy system (power, gas, heat) Investigating different community
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-to-X systems using high-temperature electrolysis (SOEC). The developed methods will serve to optimise the operation of SOCs for hydrogen production both technically and economically and improve tolerance
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available in the further tabs (e.g. “Application requirements”). Programme Description In line with its statutes, the Studienstiftung des deutschen Volkes (German Academic Scholarship Foundation) supports
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stack designs, operating strategies and measurement methods for power-to-X systems using high-temperature electrolysis (SOEC). The developed methods will serve to optimise the operation of SOCs
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) and the German Academic Exchange Service (DAAD) since 2007. Under this CAS-DAAD joint programme up and coming young Chinese scientists from the University of Chinese Academy of Sciences (UCAS) and CAS
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Our »Optical Quantum Metrology« research group develops innovative measurement technologies for clinical and industrial applications based on the ability to measure individual the oscillations
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part of an international team Desired Qualifications Familiarity with cloud computing platforms and large-scale data processing German language skills Publications in computer vision or machine learning
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topological stability, nanoscale size and fast nonlinear dynamics, making them promising building blocks for spintronic neurons, synapses and reservoir-computing elements. This project will systematically scan
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 30 days ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Starting date: 01.05.2026
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problems. Use the measurement / test data to identify the high-fidelity modelling parameters by solving the inverse problem. Validate the digital model against test scenarios. Perform what-if analyses