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cells for vehicle electrification, renewable energy storage, and power grids The group is known for cross-fertilization of electrochemistry, materials, manufacturing, diagnostics, CFD modeling, and system
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dynamically restricting, routing, and stabilizing trajectories through neural state space. We are interested in whether relatively low-dimensional inhibitory or feedback control signals can reorganize high
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, fluorescence imaging, bioinformatics, and advanced nano- and micro-engineering to decode organogenesis and early embryogenesis, translating these insights into regenerative medicine, drug discovery, and
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, and smart grids. This high level of knowledge transfer is achieved through both competitive research projects and direct contracted research. Therefore, public and private entities have access to a pool
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colorectal tumors. Specifically, the work will focus on optimizing 3D X-ray virtual histology methods by phase-contrast micro-CT and corresponding image processing techniques also with view on combining it
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such situation of multiple variable baselines is common in micro-ecosystems (e.g., dense canopy vs. open environment, conifer vs. deciduous forest?). The ultimate goal is to use these patterns of the modern
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-term to the 30th June 2027. We are seeking a highly motivated postdoctoral researcher to investigate the safety, security, control, and capabilities of advanced AI systems, with a particular focus on
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and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At
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for bridging the electricity consumption with the intermittent renewable energy supply. Electricity grids face significant challenges in balancing economic growth with sustainability targets. Rapid
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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