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research assistants, postdoctoral researchers, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems
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research assistants, postdoctoral researchers, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems
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scientific peer-reviewed publications considered by the candidate as most important for this position. Please note that a copy of each publication must be attached as a pdf file. It is permitted to merge
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research assistants, postdoctoral researchers, and academic staff to develop cutting-edge methodologies. The research is cross-disciplinary, combining advanced quantitative analysis, simulation, and systems
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project “ALPS - AI-based Learning for Physical Simulation”. Expected start date and duration of employment This is a 2–year position from 1 October 2025 or as soon possible. Job description You will be
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publications stating the scientific publications on which the applicant wishes to rely Copy of PhD diploma - if PhD diploma has not yet been received, please include statement from your supervisor A motivation
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Foundation Classes (IFC), and linked data Sensors as part of Internet of Things (IoT) and integration of sensory information in simulation models during run-time Data processing, incl. artificial intelligence
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Curriculum vitae Master’s degree and PhD degree or equivalent (copy of original + verified English translation) A complete list of publications Reference letters/references may also be included A statement of
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and PhD degree certificates or equivalent (copy of original/official English translation). Complete list of publications. Publications most relevant to the position. Summary and documentation
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full list of publications stating the scientific publications on which the applicant wishes to rely Copy of PhD diploma (if PhD diploma has not yet been received, please include statement from your