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Your Job: As a doctoral researcher in the group of Dr. Susanne Kunkel at the institute Neuromorphic Software Ecosystems (PGI-15), you will contribute to the advancement of simulation technology for large-scale spiking neural networks. In close collaboration with our Mod4Comp partners (DFG...
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researchers, it is a globally respected institution that also has outstanding economic significance for the Rhine-Neckar metropolitan region. Research Assistant/PhD Position – Computer Architecture (f/m/d
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architecture and the release of both mulicage and low molecular weight organic carbon compounds on root water and phosphate uptake. You will work in an interdisciplinary team with researchers from the University
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27 Jan 2026 Job Information Organisation/Company University of Siegen Department Embedded Systems Research Field Computer science » Computer architecture Researcher Profile First Stage Researcher
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 5 days ago
Framework Programme? Other EU programme Reference Number DC12 Is the Job related to staff position within a Research Infrastructure? Yes Offer Description 15 PhD positions in imaging of Nuclear architecture
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architecture. - Document research findings and publish them in scientific journals and conferences. - Support academic teaching by assisting in courses focused on sustainability, modern drivetrains, and hydrogen
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reality to provide a holistic understanding of artworks’ condition and structure. The objects of interest in this project will be sculptures, architectural columns and porcelain parts. First step is to gain
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computing architectures, replacing conventional structureless and deterministic LIF point-neuron models. This is pursued through circuit designs that exploit and control memristor dynamics (e.g., local
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artificial intelligence (AI), internet traffic, and online services demands a revolutionary leap in devices, computing architecture, and integration technologies. As digital computing struggles to keep up with
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scientific discoveries explore and evaluate usability of system architectures such as Retrieval-Augmented Generation (RAG) for data retrieval and knowledge inference implementation of your machine learning