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Field
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its maintenance and safety increasingly depend on data. This PhD project will develop new methods that combine remote sensing, physics-based modelling, and Bayesian machine learning to support risk
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Degree PhD, Dr forest, or Dr rer nat (doctoral studies with a focus on natural sciences) Course location Göttingen Teaching language German English Languages Courses are usually held in English. The
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Systems and Surface Processes are looking for a PhD Student (f/m/d) for experimental research on the impact of microbial activity on the immobilisation of plutonium in the nearfield of a nuclear waste
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protection: Your data protection rights, the purpose for which your data will be processed, as well as further information about data protection is available to you on the website: https://tu-dresden.de
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December 2025. For more information on available projects, eligibility criteria and the application process, please check the IMPRS-IDI website . Contact: IMPRS-IDI Coordination Office imprs-office@mpiib
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your data will be processed, as well as further information about data protection is available to you on the website: https://tu-dresden.de/karriere/datenschutzhinweis .
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skills is required for your application if your native language is not English. You can provide proof by: a TOEFL certificate (minimum score requirements: paper based 570 (PBT), computer based 230 (CBT
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wide range of theoretical perspectives, methodological approaches, and links to educational practice. The interdisciplinary course program focuses on the processes and outcomes of teaching and learning
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processing and inversion techniques to experimental data from different regions and link the findings to relevant processes of the soil-plant system. For further information visit our website http://www.fz
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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