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, enabling algorithm–circuit co-optimization across the computing pipeline with respect to key metrics such as power consumption, computational delay, and area efficiency. Beyond circuit prototyping
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Gottfried Wilhelm Leibniz Universität Hannover | Hannover, Niedersachsen | Germany | about 17 hours ago
their evolutionary and ecological benefits. Why this project is exciting Streptomyces are among the most prolific natural producers of antibiotics and other bioactive molecules and are key players in soil ecosystems
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, accelerate global biodiversity discovery through open museum data, and unravel the evolutionary history of Annelida – a diverse, ecologically important, and globally distributed but still understudied animal
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21.12.2021, Wissenschaftliches Personal The Department of Computer Science, Technical University of Munich, has a vacancy for a PhD candidate/researcher position in the area of efficient algorithms
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leading to cell death upon pathogen recognition. A recent evolutionary model proposes that NLRs have evolved from single units (singleton NLRs) able to both detect and respond to the presence of pathogen
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5 Jan 2026 Job Information Organisation/Company Department of Evolutionary Population Genetics Research Field Biological sciences Researcher Profile First Stage Researcher (R1) Country Germany
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process. By integrating simulation-informed priors into the reconstruction algorithm, we aim to significantly improve both accuracy and sensitivity. The position is hosted at the Fritz-Haber-Institut
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The Fraunhofer Institute for Algorithms and Scientific Computing SCAI in Sankt Augustin, near Bonn, has around 180 employees who research and develop innovative methods in the field of computational
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Technology, Dep. ETI / Embedded Systems, we are looking for a researcher as of the 01.04.2026. Your tasks: Development of architectures and algorithms for adaptation of time-triggered systems based
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-following inverters. Implementing and optimizing scalable algorithms for transient and stability analyses on HPC architectures (CPU, GPU, hybrid). Enhancing the numerical robustness and efficiency of existing