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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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architectures, or diffusion models. In close collaboration with clinical partners, you will translate your research into practical, translationally relevant applications, contributing to advances in personalized
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The culturally diverse Research Group “Plant Architecture ” lead by Prof. Dr. Thorsten Schnurbusch is primarily interested in basic research questions concerning how cereal inflorescences, called
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that can be embedded within spiking neural architectures Training and evaluation of these enhanced networks on sequence learning tasks and comparing their performance against state-of-the-art sequence
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therefore teams up materialists, electrical engineers, and computer scientists of TUD, RWTH Aachen and Gesellschaft für Angewandte Mikro- und Optoelektronik mbH ( AMO ) in Aachen, Forschungszentrum Jülich
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The Fraunhofer institute for Cognitive Systems IKS is specialized on applied research in the innovative areas of artificial intelligence, cognitive systems and intelligent software architectures
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well as complete digital and analog ASICs for many years. In this work, Transimpedance Amplifiers (TIA) architectures will be explored and compared. TIAs are crucial analog circuit components which are commonly used
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understanding of how genomic architectures drive soil carbon sequestration and will highlight microbial biodiversity suited to specific soils and climates, paving the way for more sustainable soil management
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architectures, or diffusion models. In close collaboration with clinical partners, you will translate your research into practical, translationally relevant applications, contributing to advances in personalized
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transfer. Its current five-year scientific programme, Molecules to Ecosystems (2022–2026), aims to deepen our understanding of life — from molecular mechanisms to complex ecosystems — with a strong emphasis