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inspired tissue engineering (TE) approaches, relying on the assembly of self-organizing microtissue-based building blocks into larger constructs, have emerged as promising avenues for cartilage regeneration
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electronics leads to CO2-emissions, resource scarcity, e-waste and pollution, thereby providing important environmental and societal challenges. Extending the lifetimes of consumer electronics is essential
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literature produced during the HIV/AIDS crisis in Europe in the 1980s and 1990s. You will build on existing scholarship on the cultural politics of HIV/AIDS in the Unites States (e.g., Crimp 1988; Hallas 2009
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extremely fast and with high precision? Can you make programmable pixels that are fed light by integrated optics, and that can be programmed to project a designer beam, focus, or wavefront into free space
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on extending product lifetimes, reducing waste, and lowering dependency on virgin raw materials by embedding AM into industrial repair and remanufacturing practices. This large, interdisciplinary national
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. Instead of following the traditional linear model of “produce–use–discard”, ADD-reAM focuses on extending product lifetimes, reducing waste, and lowering dependency on virgin raw materials by embedding AM
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technologies (including light-based volumetric and multiphoton printing, as well as magnetic and acoustic field-based techniques) to control cells and materials directly within assembled and in vivo developing
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quantum- and nanotechnology, photonics, biotechnology, synthetic biology and materials for energy storage and conversion, our faculty aims to provide solutions to important problems of the 21st century
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infrastructure materials. Your research includes four connected research and development tracks: Understand what makes hubs: review existing and emerging construction/circular hubs and translate lessons into a
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spaceborne remote sensing. You will first identify large-scale drivers of compound extremes in models and observations, then build an emulator using advanced AI methods, such as convolutional neural networks