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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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Your Job: Literature research and process understanding of higher alcohol synthesis Catalyst preparation, characterization, and performance testing Reaction parameter optimization (temperature
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Your Job: As part of your doctoral project, you will work on the production of the energy carrier dimethyl carbonate (DMC) using an innovative, sustainable, and catalytic process that exploits
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to Germany, from which countries, and at what cost. Within this Master’s thesis, you will analyze potential import options for various hydrogen-based energy carriers. To this end, you will model process chains
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emerge. Here, a new frontier is the implementation of physical laws into the neural network. In this project you will have the opportunity to work in this extremely rapidly growing field. Your tasks
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learning, physics-informed neural networks, graph neural networks, transformers, convolutional defiltering methods, etc.) for the integration in multi-physics simulation codes You will develop code for and
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science, physics, or a related field Basic knowledge of perovskite PV or semiconductor physics Initial experience in with an object-oriented programming language (e.g., Python, Matlab) Analytical and
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, extending them with physics-based approaches, and adapting existing physics-integrated neural network approaches for stress prediction in arterial walls and plaque. Another part of the project is exploring
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in Physics, Quantum Phenomena or a related discipline Experience in the application of neutron scattering methods for the investigation of the structure and excitations in condensed matter systems
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of supercomputer resources coaching bachelor and master students publishing results in physics journals and presenting them at international conferences while collaborating with the scientists at JSC an in