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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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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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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
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engineered for the reporting, lineage tracing, or conditional deletion of defined dendritic cell subsets, providing powerful genetic tools for dissecting cell-specific roles in vivo. Using and optimizing
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. • Models of network congestion, and solutions for planning and co-optimizing electricity and heating networks to avoid congestion issues •. Validation of proposed techniques through principled multi-agent
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how very different mutations can trigger similar developmental problems. More information can be found on our homepage . Project Summary This PhD project builds upon an ongoing collaboration between
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derived from paramagnetic ions, as well as the modelling of molecular diffusion processes through membranes, by means of molecular dynamics studies. Different parameters that will affect the relaxivity
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within different compartments of a single cell in live animals, enabling us to examine hypotheses in a truly physiological context. In this project, you will contribute to both engineering and neurobiology
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the built environment. The aim is to develop and validate a low-barrier digital toolkit that integrates material passports with modular LCA procedures to optimize resource reuse in construction and demolition
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Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different areas of nanoscience and nanotechnology. Research area or group: Advanced Electron