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elements such as floor slabs under service loading, enabling estimation of crack formation, joint opening, curling, and direct comparison with assumptions made in structural design calculations. The research
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at the candidate or master level, for example, Chemistry, Biology, Geology, Cognitive Science, Educational Psychology, Human-Computer Interaction, Education Sciences, or other relevant programmes that include
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The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early
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for changes to your work duties after employment. Required selection criteria You must have an academically relevant background within Learning Technologies, Interaction Design, Human-Computer Interaction (HCI
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microanalysis methods to reveal how tramp elements introduced during recycling impact microstructure and properties in aluminium mega-castings. As a PhD student, you will be supported by a multidisciplinary team
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for biological image data, scalable computer vision methods preparation of publications for submission to top-tier machine learning conferences contribution to teaching and/or supervision of Bachelor's and
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biodiversity or occurrence data (e.g., GBIF). Understanding of species distribution modelling or trait-based ecology. Interest or experience in applying AI or machine learning methods to ecological questions
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of recycled aluminium. More specifically, the project will focus on advanced numerical methods to understand how defects and different microstructures affect the strength of mega-cast components. As a PhD
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and AI-based segmentation, with a particular emphasis on inter-vehicle collaboration. The overall goal is to develop robust, scalable methods for detecting and classifying structural anomalies (e.g
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the USV and UUV operate together to validate the developed SLAM and control methods. Performance metrics will include navigation accuracy, robustness of coordination, and mission success rate improvements