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). Meritorious: It is also an advantage if you have experience with: Machine learning. Coupling algorithms of fluid-structure interaction solvers. Computational aeroacoustics. Swedish is not required
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of computational fluid dynamics (CFD). Knowledge of finite element method (FEM). Meritorious: It is also an advantage if you have experience with: Machine learning. Coupling algorithms of fluid-structure interaction
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advising on methods and systems, assessing quality and properties of data, assisting with resource allocation proposals, machine learning workflows, dataset curation, organization, and sharing, data
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, e.g git. Experience of Linux/UNIX-terminal. Excellent communication- and collaboration skills. You speak and write English fluently. Meriting Experience of HPC or corresponding computer systems
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development to complete the required courses within two years of employment, or that they apply for validation of prior learning. For other qualification requirements, please refer to Karlstad University’s
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of prior learning. For other qualification requirements, please refer to Karlstad University’s Appointments Procedure. • Appointments Procedure at Karlstad University (pdf) The position requires a good
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include teaching lessons, supervising in the computer lab or during laboratory exercises, and other tasks, including correcting reports, quizzes, etc. About you To be employed as an amanuensis, you must
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Join the cutting-edge RAM³ project: Unlocking the Potential of Recycled Aluminium through Machine Learning, High-Throughput Microanalysis, and Computational Mechanics. We are offering a PhD position
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strong culture of embracing new initiatives in education and research. Teaching includes both on-campus and distance learning courses. Research and the PhD programme in English at Karlstad University
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing