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compensate for the influence of hardware errors, you will identify optimization potentials and implement the latest error mitigation strategies. Your area of responsibility also includes applying
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focuses on the heterogeneous catalytic hydrogenolysis reaction of HMF to DMF in a batch reactor. A deep understanding of reaction kinetics and systematic process optimizations are crucial for improving
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infrastructure automation and management via Ansible Contribute to the development of custom Transformer-based models for behavior detection, segmentation, and tracking Help optimize training and deployment
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optimize material properties such as conductivity, adhesion, and impermeability through methods like sintering, crystallization, and melting. One focus of our research is printed electronics, where we
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fundamental investigation, optimization and development of photoreactors from laboratory to industrial scale as well as advanced reaction control as a basis for the development of sustainable photochemical
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-tolerant, optimal and distributed control, robustness and uncertainties adaptive control and autonomy. Interdisciplinary and application driven research is very welcome. Teaching responsibilities include
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Your Job: Development of a physical solid-state cathode model and simulation of cathode performance Mathematical optimization of the model parameters using laboratory measurements Preparation and
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scientists. We seek to appoint an expert in the research area of Machine Learning for Sustainable Processes and Materials with a focus on data-driven methods for modeling, analyzing, and optimizing complex
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of error mitigation and error correction primitives. Thereby, the applications of quantum computing that this group is working on is diverse, ranging from various machine learning methods over optimization
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energy use more efficient. We develop new optimization methods, machine learning algorithms, and prototypical energy management systems (EMS) controlling complex energy systems like buildings, electricity