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Sciences performs high quality particle physics research with a strong focus on adaptation and application of machine learning methods. Current research includes anomaly searches, evaluation of robustness
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to contribute to good social environment at the workplace. Pro-active, result oriented and high performance capabilities. Jarli & Jordan / UiO via Unsplash Jarli & Jordan / UiO We offer Exciting and meaningful
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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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. The employment period will be three years of full time with no teaching obligations, and there is a premise for employment that the PhD Research Fellow is enrolled in USN’s PhD program in technology within three
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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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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 an advantage. Fluent oral and
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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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fundamental science. 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
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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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demonstrate strong theoretical and methodological capacities as well as documented expertise in computational methods. Experience with high performance computing is strongly preferred. Experience from applied