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Field
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The PhD position is part of the MSCA Doctoral Network PANDORA on discovering Pathomechanisms and Novel Drug Optimization for AMD (Age-Related Macular Degeneration). AMD is the most common cause of blindness
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to the local capacity of the respective distribution network. The approach involves employing new methods that combine model-based mathematical optimization with machine learning. Realistic simulation of battery
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studies have demonstrated the limitations of current ground- and satellite-based observational networks. The PhD project aims for a new method to derive ground-level concentrations from satellite-based
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. Join our scientific team in the multimedia communications group in a key position in
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simulations for glass molding processes, including model setup, meshing, debugging, result extraction, and evaluation. You will also post-process simulation data in Python for optimization and machine-learning
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Production Machinery« , we specialize in optimizing manufacturing technologies for components used in energy conversion systems such as fuel cells and electrolyzers. With a focus on industrial applications
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computing ecosystems Proven experience in developing and applying deep learning methods for image analysis, such as convolutional neural networks (CNNs) for segmentation and classification Practical
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to optimize and analyze the developed sensor systems. We are looking for a highly motivated PhD candidate to strengthen our interdisciplinary research team. Be part of change Develop intelligent sensor systems
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optimization of electrolysis from the cell to the stack requires automated monitoring, analysis, and control of the operating parameters and processes. As part of this project, high-throughput experimental
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and its supporting infrastructure • realize on-chip pulsed DNP • design microwave pulse sequences for on-chip DNP using spin physics, numerical simulation tools, and quantum optimal control