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of Accounting, Finance & Insurance offers a dynamic, stimulating and pleasant working environment. The student will be part of the Research Group Accounting, which enjoys a strong international reputation and is
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controllers for complex systems that are safe and verifiable by design. Information Neural networks can provide the flexibility needed to control increasingly complex dynamical systems, but their opaque and
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of dynamic radar scenes. The project combines methodological machine learning research with experiments on real automotive sensor data. You will have access to research vehicles and advanced radar prototypes
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dynamic range or polarization diversity. Operation in harsh conditions or challenging environments is therefore often very challenging. In this PhD, you will contribute to research that explores how
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 15 hours ago
atmosphere in a very dynamic and professional team Extensive state-of-the-art equipment and infrastructure in various analytical methods The opportunity to present your data on international conferences and
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University of Munich. Our group studies the static and dynamic properties of magnetic systems at the nanoscale, from magnetic skyrmions and higher-order spin textures to curved and three-dimensional magnetic
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and ecological impact Experience with Experimental or Computational Tribology, Computational Fluid Dynamics and/or data analysis is desirable Excellent written and spoken English An enquiring and
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AI and data science, particularly in dynamic settings where observations are collected sequentially and decisions influence future outcomes. This project will develop novel machine learning and
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for non EU candidates Number of Open Positions: 1 Pay: financial support for 4 years Application Deadline: 20.9.2026 EU Researcher Profile : R1 About the Workplace Masaryk University is modern, dynamic and
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, fiber optical sensor, or a combination of both. Perform dynamic experiments of pristine and (gradually) damaged structures to collect data for the state estimation methods. Develop signal processing