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into electric power systems, Power electronics related to the integration of batteries and variable renewable generation, Power quality challenges associated with increased electrification. Entry requirements
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
and sustainably before they take off! Job description Research and industry are increasingly investing in new aircraft concepts (e.g., powered by batteries, hydrogen, and other alternative energy
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feedstocks, carbon becomes a critical raw material for everyday materials (e.g., plastics, asphalt, composites, batteries). While renewable carbon can come from biogenic waste, low-grade biowaste is often wet
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Job description As the Netherlands phases out fossil feedstocks, carbon becomes a critical raw material for everyday materials (e.g., plastics, asphalt, composites, batteries). While renewable
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PhD Position Simulating the Airspace of the Future: Fleet & Network Optimization for Future Aircraft
aircraft concepts (e.g., powered by batteries, hydrogen, and other alternative energy sources) that promise to significantly reduce aviation's climate impact. These aircraft, however, come with fundamentally
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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | about 14 hours ago
for crystalline materials, such as diffusion models and flow matching. Future applications of this technology include the design of novel materials for batteries and catalysts for direct carbon air capture. Your
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Jaguar Land Rover and WMG (University of Warwick). The collaboration seeks to investigate and develop new joining methods of battery pack module assemblies. The biggest challenge is moving away from
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battery electrodes with outstanding performance. Two positions One of the two PhD positions will be focused on the molecular design, synthesis, and polymerization aspects of the role description below (PhD
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signals at a time from on-board sensors) battery-powered embedded device that collects and processes the data (using an AI model) from the human mouth and transmit the data wirelessly for further analysis
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these methods to understand the atomic structure and properties of a range of materials being developed for efficient solar cells, light generation, batteries, superconductors, photonics and nanoelectronics. We