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the DFG-funded research project ICEBAY, which focuses on Bayesian hierarchical modeling and probabilistic inference for temperature reconstruction by combining borehole thermometry and ice-core data. The
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available in the further tabs (e.g. “Application requirements”). Objective The programme aims at fostering strong, internationally oriented higher education systems in Southeast Asia with the capacity
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on existing demand-optimized network models, the project explores multi-objective optimization strategies to assess robustness against environmental and demand fluctuations, with the aim of supporting
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available in the further tabs (e.g. “Application requirements”). Objective A cooperation agreement on the joint training and education of PhD students has existed between the Chinese Academy of Sciences (CAS
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to search for spectral signatures of gamma-ray and X-ray emission from Galactic and extra-galactic objects using the most recent models for the magnetic fields along the line-of sight. Doctoral research
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. Applications focus on disaster response, logistics, and dense urban UAV operations without reliance on a single cloud backbone, with potential transferability to industrial or U-space operations. Objectives
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Prof. Noomane Ben Khalifa (Hereon/Leuphana University Lüneburg) and supported by Dr.‑Ing. Frederic Bock (Hereon). The objective is to combine computer simulations and machine learning models to extend
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-domain context. Good knowledge of programming languages (e.g. Python, R, Java, C#, C++) Good knowledge of object orientation and at least basic knowledge of UML Knowledge in the field of machine learning
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quantitative medical imaging Proficient programming skills in at least one object-oriented language (e.g., C++, Python) and broad understanding of common programming paradigms, including object-oriented design
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methods Good knowledge of object orientation and at least basic knowledge of UML Knowledge of minimum one programming language (e.g. C++, Python, Java) Experience with the Robot Operating System (ROS) Good