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Description For our location in Hamburg we are seeking: PhD student - Lasers for Inertial Confinement Fusion Remuneration Group 13 | Limited: 3 years | Starting date: 01.09.2025 | ID: FSDO013/2025
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Description Microplastics are ubiquitous in the environment due to their versatility and the large quantities in which they are produced and used. At the same time, global consumption and industrial production continue to rise – not only of plastics but also of synthetic chemicals. As a result,...
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strategies targeting R-loop-associated malignancies. See also https://www.imb.de/wang For a more detailed description of the project including relevant literature, see here[pdf-Datei] . This PhD position
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Aerospace Centre (DLR), will conduct research on 20 research topics with 25 PhD candidates within the next years. The following main research goals are pursued by this Center: (1) develop a new set of
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of models in existing simulation software conducting numerical studies, also on HPC systems Further specific tasks can be tailored to the attitude and interests of the PhD students/postdocs. Requirements
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both institutes, the Departments of Reactive Transport and of Experimental Neurooncological Radiopharmacy are looking for a PhD Student (f/m/d) Quantitative imaging of microbial processes
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Aerospace Centre (DLR), will conduct research on 20 research topics with 25 PhD candidates within the next years. The following main research goals are pursued by this Center: (1) develop a new set of
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Description Are you interested in developing novel scientific machine learning models for a special class of ordinary and differential algebraic equations? We are currently looking for a PhD
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availability of resources, a position as Research Associate / PhD Student (m/f/x) (subject to personal qualification employees are remunerated according to salary group E 13 TV-L) starting October 1, 2025
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hydrological modelling methods that explicitly use interpolation to pre-process precipitation data. In addition, the research should explore the integration of opportunistic sensor data to improve forecast