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programming, algorithms and data structures, and databases, both relational and NoSQL) and in distributed systems and cloud computing (virtualisation and containerisation, cloud platforms, and data
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with hands-on operational work and close dialogue with both internal experts and external partners. You will contribute to the development of MIMER’s cloud-native supercomputing environment and
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principles and research data management. Experience with high-performance computing, cloud computing, GPU acceleration, or distributed data processing. Experience participating in international scientific
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. Experience with distributed systems, high-performance computing (HPC), cloud infrastructure or other large-scale computing environments. Experience with container-based environments and automation of
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computing infrastructure, integrated into high performance and sustainable services. The successful candidate will work closely with the beamline scientists in order to understand their detector
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and/or CIM-based tools. Experience of using and developing data and computing platforms: databases, containerisation, version control and cloud or HPC resources. Experience of information models and
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areas: IoT, data mining, cloud/edge/fog computing. • Good knowledge in one of the following programming languages: C/C++, Python. Place of employment: Karlskrona. Employment level: 100%. Commencement
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, foundation models, or machine learning applications Experience with HPC, cloud computing, data platforms, or scientific computing environments Experience within one or more relevant domains such as life
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interested in candidates with: Experience with web-GIS development or geospatial data visualization. Experience with high-performance computing clusters or cloud-based Earth observation platforms (e.g
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doctoral programme in question, the following are considered as other qualifications: Strong foundations in Machine learning and reinformement learning. Cloud computing and cloud technology. Low-level