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analysis in the construction domain/synthetic data creation and transformation. The group develops AI methods for 3D model creation, plan and scene analysis in the construction sector by analyzing as-built
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for data visualization, automated processing, and workflow optimization in Python, applying a structured and methodical approach to ensure reliability and efficiency. Physical Knowledge Application: You
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a doctoral candidate, you will become part of an excellent scientific international network and benefit from our structured, interdisciplinary graduate programme offers, which include training courses
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for two years. This is available on request and requires a one-page project outline. Candidates should have completed a PhD in a TERRA-related discipline, have a proactive, structured, well-organized work
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committees. Comprehensive and structured PhD programme in English. Individual career mentoring programmes & coaching, courses in state-of-the-art methods & soft skills workshops, conference travel grants
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for your independent, organized, and structured approach to work Ideally, you have some practical experience in CFD simulation (e.g., Ansys Fluent) and CAD design, as well as a broad technical interest and
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) development, validation and application testing of a novel distributed fiber-optic acoustic measurement system (DAS) for structural health monitoring (SHM) of underground gas cavern storage facilities and
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application-oriented research Your strengths include a responsible, independent, and structured approach to work Prior knowledge in the field of additive manufacturing, laser technology, or programming (NC
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strengths include a responsible, independent, and structured approach to work Prior knowledge in the field of additive manufacturing, laser technology, or programming (NC, Python, C, etc.) is desirable but
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for data visualization, automated processing, and workflow optimization in Python, applying a structured and methodical approach to ensure reliability and efficiency. Physical Knowledge Application: You