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. Cantera or CHEMKIN. Background in compressible flows and applied aerodynamics. Experience in data analysis and interpretation of large datasets. Knowledge and experience from use and development of CFD
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of the following areas will be a merit. Advanced AI methods development in Python or any other relevant programming language Computer Vision and image analysis Handling of large dataset Qualifications Applicants
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context; (g) analysis of large amounts of quantitative data, data merging, data management (“big data”) A strong publication track-record and experience with publishing in international top journals
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information about the position. The position is a fixed term position for a duration of 3 years. Appointment to the position of Postdoctoral Research Fellow is mainly intended to provide qualification for work
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deployment. Existing methods rely on fixed data and static models, which struggle to adapt to real-time changes and unpredictable conditions. This limits the ability to optimize energy storage use for critical
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teaching in higher education, lecturing and other relevant work at the faculty. More information about the completion grant scheme can be found here . The workplace is at UiT in Tromsø. You must be able
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in large-format commercial cells. The candidate will contribute to the development of the growing research activity in electrochemistry and lithium-ion batteries. We are looking for a highly motivated
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the project period and that the scientific results will be disseminated in internationally recognized, open access journals/publishers. Contact For further information about the position, please contact
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ensuring high growth density, optimal CNT length, limited defects, andcompatibility with large-scale wafer-level manufacturing. The project also explores the development of CNT-based field effect transistors
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structured manner motivation, sense of responsibility and accountability, work capacity and enthusiasm for research via Unsplash We offer varied duties in a large, exciting and socially important organisation