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Are you fascinated by atomic-scale control of materials for future semiconductor and energy technologies? We are looking for three ambitious postdocs to work on advanced atomic layer processing
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researcher to work on systems theory for energy-based learning. What are you going to do? As a postdoctoral researcher, you will develop and analyse new algorithms for energy-based learning of complex systems
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though optimal sizing of chargers and mobile battery storage systems based on the demand and through energy management strategies under traction and AC grid constraints. Contribute to two pilots
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integration. Investigate how traction grids can support high-power charging at construction-sites though optimal sizing of chargers and mobile battery storage systems based on the demand and through energy
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and interconnected to create faster, more compact and more energy-efficient semiconductor devices. However, the detailed mechanisms that determine bonding quality are still not sufficiently understood
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the tomato response to Zn and Fe deficiency and design strategies to improve the Zn/Fe nutritional status of tomatoes for human health. You will generate dedicated (single-cell) transcriptional data sets
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integration, where chips are stacked and interconnected to create faster, more compact and more energy-efficient semiconductor devices. However, the detailed mechanisms that determine bonding quality are still
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status of tomatoes for human health. You will generate dedicated (single-cell) transcriptional data sets feeding into the MNase-defined cistrome occupancy (MOA-seq) analysis of transcription factor binding
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of robust and reliable cell lines. As a core member of our team, you will contribute to the development, optimization, and characterization of cell lines from marine and aquatic species, working toward
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Amsterdam gas station into a multifunctional mobility and energy hub combining fast-charging, energy storage, shared mobility, logistics, and neighbourhood services. The postdoc will develop optimization