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Intelligent monitoring and control of distribution grids is essential for the realization of the energy transition. Smart Grid applications rely heavily on data from measurement units distributed in
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at spatial and temporal scales that are critical to urban hydrology. A solution is pursued by constructing climate-adapted synthetic rainfall series with a data-driven stochastic rainfall generator, which
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quantitative analysis (e.g., t-test, Mann-Whitney U), and skills for visualizing data in advanced software programs. Good written and spoken English language skills are mandatory for publication purposes
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The position is part of the project HEREDITARY (heterogeneous semantic data integration for the gut-brain interplay) co-funded by the Horizon Europe program. The project aims to build a robust
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qualifications: M.Sc. degree in wireless communications, communications engineering, computer engineering or similar solid mathematical and analytical skills experience in programming, e.g., in C++, Python
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project, you may upload a copy of the project description above;(3) CV;(4) Diploma and transcripts of records; and(5) Other relevant information. All interested candidates are encouraged to apply
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-computer interaction through sound and haptics, and with dynamic monitoration of user movements and actions) Good written and spoken English language skills are mandatory for publication purposes. The PhD
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information from Professor Peter Nielsen, Department of Materials and Production, cell phone:+45 24794687, email: [email protected] concerning the scientific aspects of the stipend. It is a prerequisite for
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. Applicants can also enclose recommendation letters if they wish to do so. You may obtain further information from Assistant Professor Zakaria Djebbara, Department of Architecture, Design and Media Technology
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of the developed cavitation model with acoustic radiation models, validating against experimental data. Required Qualifications A relevant educational background within Mathematics, Physics, or Engineering, with a