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solutions to enable data analytics in a federated setting The selected candidate will be part of the Data, Knowledge, and Web Engineering group: https://www.cs.aau.dk/research/data-knowledge-and-web
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. For further information about stipends and salary as well as practical issues concerning the application procedure contact Ms. Lisbeth Diinhoff, The Doctoral School at The Faculty of Engineering and Science
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School at The Faculty of Engineering and Science, email:[email protected] , phone:+45 9940 7408. For more information of The Doctoral School of Engineering and Science:www.phd.engineering.aau.dk
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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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. Helle S. Thomsen, The Doctoral School at The Faculty of Engineering and Science, email: [email protected] For more information of The Doctoral School of Engineering and Science
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Laboratory, Dept of Architecture, Design and Media Technology(second part of study). You may obtain further information from Prof. Dorte Hammershøi, Department of Electronic Systems, email: [email protected]
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to contribute to teaching at the Sino-Danish Center in Beijing, to conduct field work and other research activities while also engaging with the research environment at University of Chinese Academy of Sciences
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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
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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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of a novel condition monitoring system. Responsibilities: Develop machine learning algorithms and methods for condition monitoring of a disruptive new main bearing technology. Analyze sensor data from