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Field
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develop advanced models, algorithms, and control solutions for simulating, optimizing, and operating future integrated energy systems. We address the challenges arising from the increasing integration
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deep learning Familiarity with common neural network architectures, including Transformers, 1D Convolutional Neural Networks (1D CNNs), and related models Solid understanding of fundamental machine
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to provide scalable, faster-than-real-time capable methods and tools that enable the energy-optimal, cost-efficient and safe design and operation of future energy systems. Your Job This postdoctoral position
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. Be part of change Conducting test runs and optimizing a prototype combustion system with staged fuel injection for primary reduction of NOx emissions Supervising test series Documenting and evaluating
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for advanced and operando characterization of electrodes, with DC6 and DC15 for optimization of electrochemical interface performances with electrolyte and cathode materials developed by the respective partners
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Systems Engineering (ICE-1), our focus is on developing models and algorithms for simulating and optimizing decentralized, integrated energy systems. These systems are characterized by the high spatial and
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Technology Development and System Design: Conducting process development and optimization, as well as their integration, for the manufacture of PICs across various production sites Project Acquisition and
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of electron-transparent TEM lamellae and specimens Operation and optimization of ultrafast laser systems (fs–ps range) and optical setups Characterization of electrostatic potentials and excited carrier
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master’s thesis on the development and optimization of process conditions for catalysts used in the dry reforming of methane. The thesis will involve working on a highly complex pilot plant for testing
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master’s thesis on the development and optimization of catalysts for the dry reforming of methane. The thesis will involve the synthesis, modification, and characterization of heterogeneous catalysts using