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can find information on the use of cookies and the use of your data as well as objection options in our privacy policy. Functional External services
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available in the further tabs (e.g. “Application requirements”). Objective The aim of the project is to provide fellowships to non-EU researchers facing threats in their home countries, supporting them
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reliability of R-Mode, particularly under varying environmental conditions. Key objectives include understanding the physical processes that affect R-Mode signal propagation, quantifying the variability
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Science, Mechanical Engineering, Materials Physics, or a closely related field A strong academic track record and a solid understanding of the mechanical behavior of materials and materials science Hands
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. Implement Advanced Characterization Techniques to evaluate material performance and device reliability, integrating electronic control systems including DC-DC voltage boosting and maximum power point tracking
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measurements in a team of experts on and in the pyramids and creating digital object models with numerical simulations, for example, using Salvus software or similar. Publication of research results and
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. The specific focus of the PhD projects will be tailored to the candidate’s interests and will align with the objectives of the aforementioned consortia. These projects work at the interface of the gut microbiome
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reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming languages (C++, Python, or Julia) is highly relevant. Knowledge
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) expect to appoint an experienced postdoctoral researcher in Fall 2025 (with flexible starting date). We are looking for an innovative experimentalist (m / w /d) with an established research track record
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areas is expected: numerical analysis, scientific computing, model reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming