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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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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 The majority of hydrological models rely heavily on the principle of mass balance, often represented through Ordinary Differential Equations (ODEs). These models encapsulate the conservation of mass within hydrological systems, ensuring that the inflows, outflows, and storage changes...
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and expertise are invaluable to us as we work to improve our website. To the survey PhDGermany Find your suitable PhD opportunity in Germany. Find your suitable PhD opportunity in Germany. Back
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– from the modeling of material behavior to the development of the material to the finished component. PhD Position in Machine Learning and Computer Simulation Reference code: 50145735_2 – 2025/WD 1
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(diploma, master's degree) in transport engineering or civil/electrical/control engineering or mathematics, or related study programs with a solid basis in optimization Description of the PhD topic
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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. The position entails 75% of the full-time
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-management and conservation practices": PhD student (f,m,div) in the Field of Geodata, Nitrogen and Soil Parameter Modelling Reference number: 18/2025/4 The salary will be based on qualification and research
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Description The research group of Jun.-Prof. Dr. Johannes Walker welcomes applications for a Ph.D. position with a limited contract of three years according to the salary level E 13 TV-L (50 %). This position is to start at the earliest opportunity. The project will involved the development of...
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, involving five faculties and the German Aerospace Centre (DLR), will conduct research on 11 research topics with 22 PhD candidates in the first funding period (05/2024 to 04/2029). The goal is to address