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and interest in working with custom-built or modified instruments Solid programming skills (e.g. Python) are desirable Ability to work independently and self-reliantly, while maintaining strong teamwork
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Electric solar wind sail (E-sail) from Low Earth Orbit (LEO) demonstration missions to the operational environment of the solar wind. It is delivered by 8 universities in cooperation with FMI, where E-sail
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for the built environment. Particular emphasis is placed on artificial intelligence in construction, building information modelling, point cloud capturing and processing, as well as construction robotics. The PhD
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Bayesian machine learning to improve risk management for bridge portfolios. We offer a funded PhD position in an excellent research environment. The project Our infrastructure is aging, and decisions about
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solar wind sail (E-sail) from Low Earth Orbit (LEO) demonstration missions to the operational environment of the solar wind. It is delivered by 8 universities in cooperation with FMI, where E-sail
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University of Göttingen (Germany) and the European Synchrotron (ESRF) in Grenoble (France), we will design and build a novel synchrotron setup to combine x-ray scattering with light microscopy. The newly built
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synchrotron setup to combine x-ray scattering with light microscopy. The newly built setup will then be used to investigate a variety of relevant biological systems. We are looking for a candidate, who
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flood mapping, (ii) identify causal links between rainfall, drainage, and built-up morphology, and (iii) deliver actionable insights for resilient urban planning. Results will be validated against
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have built a comprehensive concept for doctoral education in which topic-oriented doctoral projects are embedded into the multidisciplinary research background of the GGL. This concept combines
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structured PhD within an interdisciplinary and internationally connected research environment. The Global Partnership Network (GPN) offers a graduate programme in which our PhD students are co-supervised by