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fully funded PhD position in the area of Next Generation Enterprise Architecture Management to be filled in Q1 2024. Your responsibilities: Research & development projects in the area Next-Generation
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benchmarking techniques. Development of model architectures and training concepts tailored to enhancing synthetic data generation. Rigorous evaluation and iterative optimization of the generated data models
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dynamic task are becoming more and more apparent. The main tasks for the PhD student are to work on mechatronic design of robotic joints and architecture mechanisims that improve existing manipulation
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networks self-organize their architecture. We are looking for a PhD student (m/f) to join our team at the TUM. Task Flow networks are a fundamental building block of life. Transport by flow is the main task
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network adaptation is crucial for optimal perfusion. In living systems, network architecture constantly changes in response to environmental stimuli towards uniform flow to optimize transport. Combining
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architectures which leverage our increasing understanding of the behaviour of neural networks trained with DP to ameliorate these trade-offs in biomedical applications. - Foundations of private machine learning
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to mount a behaviour. Relating nuclei dynamics to morphological changes in the organism’s network architecture you will find out how nuclei information processing leads to emergent organism-scale behaviour