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Network, aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning, addressing power, latency, and memory bandwidth issues with reliable
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and methodological basis for defining the new concept of ‘landscape services’ in regional spatial design. In ‘Fertile Soils’, we see a potential that multiple spatial challenges in urban and rural areas
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aspects of modern ML systems. Current research directions include the ERC Consolidator Grant CollectiveMinds, which aims to make machine learning more sustainable and efficient by enabling multiple smaller
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leveraged to develop functional demonstrators for diverse application sectors, such biomedical, space, and beyond. To achieve this, a neuro-symbolic artificial intelligence (AI) architecture that combines
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network aims to deliver fiber-optic quality experiences over wireless links by building the theoretical, algorithmic, and architectural foundations of THz systems. It introduces ultra-MIMO (multiple-input
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, trillions of cells of multiple different cell types communicate with each other by releasing a thousand types of molecules. However, the functioning of biochemical signaling does not seem to comply with
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to develop new architectures for porous electrodes to improve the power density and energy efficiency of redox flow batteries (RFB), enabling affordable and durable long-duration energy storage. The approach
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Apply now Job no:535444 Work type:Faculty - Pro Tempore Location:Eugene, OR Categories:Architecture/Art/Design, Research/Scientific/Grants, Environmental Studies Department: School of Architecture
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? No Offer Description We are looking for a motivated and creative candidate to fill a position as a PhD student as part of the MSCA Doctoral Network “SPACER” (Shaping Porous Electrode Architecture
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assessment in architecture and construction? Do you want to work for turning down the emissions and overuse of materials in the built environment? We are now looking for a doctoral candidate for a PhD position