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infrastructures, focusing on regional impacts and implementation challenges Position your research in the professional community through publications in renowned journals, conference contributions, and active
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. ▪ You will work at the interface of fundamental research and technological innovation, collaborating closely with partners from academia, research institutions, and industry. ▪ You will actively present
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systems on different temporal and spatial scales. For our Research Group Applied Optimization we are looking for a PhD student: New Deep Learning - based Framework for Energy Modelling: Combination
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of superconducting qubits to quantify performance and identify limiting physical mechanisms Perform quantum device calibrations, benchmarking, and run quantum algorithms Presenting and publishing the research
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addition to technical models allowing to assess technical scaling and an optimal operation. The optimal plant design is identified by considering the energy supply system, the choice of capture technology, the DAC
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water supply. You will work in a highly innovative and interdisciplinary research environment and make a direct contribution to the energy transition. Your Profile: Very good grades in your master`s
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electrolyte and electrodes and their influence on the overall performance and safety of sodium-based batteries and their chemistry You cooperate with partners from theory to optimize charge transport
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significant impact on security of supply in the existing and future sector-coupled European energy system. As part of your work, you will identify and systematize potential disruptive events from
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transition. The optimal production, transport and storage of hydrogen are indispensable for it. The researchers are working on the system design of mobile hydrogen storage, infrastructure for stationary energy
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, operation and optimization of fs to ps laser sources Characterization of electrostatic potentials and excited carrier concentrations using off-axis electron holography Mapping of charge carrier lifetimes by