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three main phases. In the initial phase, you will develop and optimize physical and numerical models describing the electron optics of the complete probe-forming column, including the multi-beam
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and the optimal stimulation settings for epilepsy treatment remain unclear. What you do As a PhD candidate, you will explore how individual differences in brain responses to TMS can inform personalized
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diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry
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flow batteries (RFB), enabling affordable and durable long-duration energy storage. The approach is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery
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for simulation or optimization of climate, energy, or transport systems (e.g., Fortran, Python, GAMS, XPress, Matlab). Competence in data processing and parsing, as well as data management. Strong analytical
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optimal new technologies and transition pathways simultaneously. To holistically evaluate the environmental impacts of processes and energy systems, we develop predictive methods for Life Cycle Assessment
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performance, design a reactor to restore DES to its original state before recycling, and investigate utilisation of by-products from the mixed chemistry batteries. For different battery chemistries
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-duration energy storage. The approach is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery chemistries and flow phenomena from the microscale up
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-duration energy storage. The approach is to use hierarchical structures, i.e. complex material layers that can be optimized to specific battery chemistries and flow phenomena from the microscale up
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flexibility. To fully unlock this potential, we need advanced tools that digitally replicate these networks and support optimized design and data-driven control strategies. As our PhD candidate, you will