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Field
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on massively parallel hardware architectures Combination of programmable logic, tensor processors and general-purpose CPUs for real-time adaption and scheduling services (e.g., AMD Versal platform
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whenever needed. An important additional aspect of this project is the creation of samples with defined microstructures to validate the results of parallel PhD projects on modelling. The successful candidate
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Inria, the French national research institute for the digital sciences | Pau, Aquitaine | France | 7 days ago
efficient parallelism for (1) high-order quadrature rules, and (2) HDG dense-matrix operations. - With the help of the developer's team, propagate the key-finding into the main app Hawen. We envision
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for anaerobic digestion, and enzymatic saccharification to produce biogas and value-added products. In addition, parallel analysis of governance, permitting, and policy requirements will be conducted to ensure
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for anaerobic digestion, and enzymatic saccharification to produce biogas and value-added products. In addition, parallel analysis of governance, permitting, and policy requirements will be conducted to ensure
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Contact City Oslo Website https://www.med.uio.no/imb/english/ Street PO box 1072 Blindern Postal Code NO-0316 E-Mail j.m.gran@medisin.uio.no STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp
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simulation runtimes. During the PhD programme, a student would be expected to explore and analyse the limitations of possible solutions for parallel simulation of massively multicore computers. During
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refinement are available at the lab and can be used whenever needed. An important additional aspect of this project is the creation of samples with defined microstructures to validate the results of parallel
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access restrictions. In parallel, AI-driven services are increasingly deployed in a distributed fashion, with inference spread across cloud, enterprise domains, and edge locations close to data sources and
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vendors, each with their own management interfaces, data formats, and access restrictions. In parallel, AI-driven services are increasingly deployed in a distributed fashion, with inference spread across