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of training courses; a structured program of continuing education and networking opportunities specifically for doctoral researchers via JuDocS, the Jülich Center for Doctoral Researchers and Supervisors: https
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Museum fuer Naturkunde, Leibniz Institute for Evolution and Biodiversity Science | Berlin, Berlin | Germany | 4 days ago
Framework Programme? Horizon Europe - MSCA Reference Number 14/2026 Is the Job related to staff position within a Research Infrastructure? No Offer Description The Marie Sklodowska-Curie Doctoral Network
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 9 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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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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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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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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Germany Type of Contract To be defined Job Status Other Offer Starting Date 27 Mar 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to
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NEST: https://nest-simulator.readthedocs.io Your tasks in detail: Work with the NEST main code base and experimental branches Dissect the spiking network simulation cycle into phases and capture the flow
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topological stability, nanoscale size and fast nonlinear dynamics, making them promising building blocks for spintronic neurons, synapses and reservoir-computing elements. This project will systematically scan
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The Quantitative Genetics research group is interested in developing statistical genomics toolboxes to decipher the genetic architecture of important crop traits, such as grain yield, adaptation