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), Internet-of-Things (IoT) devices, cloud computing, and next-generation communication networks, has greatly expanded the cyber threat landscape. Ensuring the security, privacy, trust, and resilience of
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advantage. Data processing skills using statistical computing, visualisation and data analysis tools (e.g. R, Python or similar) are also considered a merit. Emphasis is also placed on personal
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computing (HPC) environments Turbulence modelling and numerical methods Control theory and flow control Linux, version control (e.g., Git), and LaTeX Excellent academic results are also considered a
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extensive training and resources in computational science, including high-performance computing (HPC) clusters. For more information about the DDLS program, see here. The employment In connection with
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to design solutions for technical specialization and ecosystem governance. In particular, trade-offs between model size, data needs, computing costs, privacy and secrecy will be addressed. Work duties
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integrative multi-omics data, such as genomics, proteomics, or metabolomics. Experience with relevant machine-learning frameworks, such as PyTorch, and high-performance computing (HPC) environments
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will be part of the Nordforsk research project COPY.AI, which is co-ordinated by the Norwegian Computing Centre. The aim of the project is to in cross-university and cross-disciplinary collaboration
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of using programming languages or statistical computing environments, such as Python, R, MATLAB or an equivalent tool, for data processing and analysis. good ability to work independently, formulate
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the leading AI institutions in Sweden. We have strong links to prominent national research initiatives, such as WASP and ELLIIT . You will have access to state-of-the-art computing infrastructure for
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competence in c++ and GPU computing. good ability to work independently and to formulate and tackle research problems. good written and oral communication skills. good ability to cooperate and be able to work