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Field
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for this position) Experience with programming languages (e.g., Python, MATLAB) and simulation software Excellent academic a dynamic, creative and pioneering professional attitude with a willingness to
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/Python) and/or structural analysis software (e.g., OpenSees, ABAQUS) is highly desirable Willingness to participate in experimental testing campaigns and multi-national secondments Familiarity with seismic
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. - Strong motivation for scientific research, ability to work independently and effectively plan and organize research tasks - Familiarity with standard office software and scientific data presentation
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such as the NEPS. Potential research areas include (but are not limited to): Item response modeling of achievement tests Analysis of process data (e.g., response times) to enhance competence measurements
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analysis using StarCCM+/OpenFoam, conduct the experimental test using our cavitation tunnel, the combined wind, wave and current tank and the research vessel, and develop a novel maritime system for clean
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. The researcher will use mixed methods, including data from knowledge tests, attitudinal surveys, and focus groups to investigate how the tools function and how they can be improved. The researcher will also
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experimental setups to predict Loss of Containment (LOC) in critical components of hazardous equipment (e.g. nozzles, elbows, flanges). Conduct axial/bending tests to identify leakage thresholds and formulate
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to prove that they have sufficient means of subsistence to cover their living expenses, study, healthcare and repatriation costs. This can be proven in different ways. 1. Costs Exchange PhD students
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tunnel testing and statistical modelling using extreme value theory, the project will yield predictive frameworks for structural risk under rare yet damaging wind conditions. The results will support
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essential tool for training and testing of AI models and control systems for robots and autonomous vehicles. In a digital environment, large amounts of annotated training data can be created safely and easily