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publications and project reports Support in establishing the institute Your Profile: Master`s degree in physics, chemistry, materials science, chemical engineering, or a related discipline Extensive knowledge
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partnership with the German Federal Waterways Engineering and Research Institute (BAW); building a fully coupled model that simulates surface hydraulics and subsurface flow with relevant turbulence models and
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on methods development in machine learning, uncertainty quantification and high performance computing with context of applications from the natural sciences, engineering and beyond. It is embedded in
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(master’s or equivalent) with excellent grades in the field of data science, material science, mechanical engineering, physics, or similar, with a strong machine learning or simulation background In-depth
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. Requirements: university degree in Computer Science, Physics, Engineering, or a related field strong background in relevant research areas genuine interest in research and a high level of enthusiasm
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Deadline: 31 August 2025 International applicants: we will assist you through the visa process, and also with your application for a residence/work permit after your arrival in Mainz. Have we sparked your
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. The PhD programme involves three years of research-oriented thesis work, leading to a doctoral degree in the field of physics. Scientific interests are centred on activities in applied and quantum optics
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) fertilizer use has caused environmental contamination in some regions, while P-deficient soils and limited fertilizer access constrain crop production in others. Climate change and dwindling high-grade
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At the Fraunhofer Institute for Applied Solid State Physics IAF, we know our technologies like the back of our hand. Because we are one of the few scientific institutions worldwide to conduct
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. Specifically, the PhD candidate is expected to contribute corpora preparation (collection and organizing the annotation), use machine learning approaches for irony detection, and testing for experimental and