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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | 5 days ago
28 Mar 2026 Job Information Organisation/Company IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava Research Field Computer science Researcher Profile First Stage
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Background/Motivation: Models that can recognise human skin, body parts, or scenes are often used to detect erotic and pornographic material. With the help of appropriate datasets [1
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in data integration, model design, and large-scale training by combining multi-modal scientific data, knowledge graphs, physics-aware machine learning, and GPU/HPC computing to develop transparent and
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The aim of this PhD project is to investigate the causes of active
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Multi-Scale Modelling Project, working within a nationally coordinated programme tackling the most pressing challenges in battery science. Playing a key role in advancing PyBaMM (https://pybamm.org
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based on Machine Learning (ML) emulators have taken the weather predictions research by storm, as they run faster and use less energy than traditional approaches: numerical models based on physical
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Ce projet de doctorat vise à comprendre les
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The Bioinformatics Assistant will provide computational and software development support to the Laboratory of Host-Pathogen Biology, including development and maintenance of data analysis pipelines, web applications
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unique atmosphere where there is expertise to dig deep into computational modelling, while remaining connected to the experimental side. This interdisciplinary atmosphere has been a main catalyst for many
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-41 https://doi.org/10.1016/j.psep.2020.07.017 🎓 What you will gain • Strong expertise in advanced kinetic modeling • Hands-on experience with calorimetric instrumentation • Exposure to DFT and AI