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. For an overview of what your application must contain, please see the paragraph “About the application” below. Duties of the position Perform excellent research at internationally leading level, Write high quality
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publication record that documents solid expertise in computer science strong technical skills documented fluency in English. Nordic applicants can document their capabilities by attaching their high school
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) Experience with the use of high-performance computing (HPC) systems Proficiency in UNIX/Linux and Bash/Shell scripting Experience with reproducible analyses and workflow systems All candidates and projects
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. Python, C++, or similar) Experience with analysis of Hi-C (or related) data Experience with the use of high-performance computing (HPC) systems Proficiency in UNIX/Linux and Bash/Shell scripting Experience
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employment that the PhD Research Fellow is enrolled in USN’s PhD program in Nautical Operations within three months of commencing the position. About the PhD-project The PhD project will focus on research
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Innovation Council (EIC) under Horizon Europe’s EIC Pathfinder Open program. EIC Pathfinder supports bold explorations of radically new technologies, financing high-risk, high-gain interdisciplinary
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tailored to enhance the performance, durability, and environmental footprint of offshore wind turbine components. By integrating advanced computational tools with systems engineering and sustainability
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(CNTFET) for ternary computing. Semiconducting CNTs are ideal for transistor channels due to their material properties and 1-D structure. With the continuous need of improving transistor performance, CNTFET
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. Very good communication and collaboration skills. Want to contribute to good social environment at the workplace. Pro-active, result oriented and high performance capabilities. Jarli & Jordan / UiO via
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methodological capacities as well as documented expertise in computational methods. Experience with high performance computing is strongly preferred. Experience from applied work in change and anomaly detection is