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position as Research Data Steward (m/f/x) (subject to personal qualification employees are remunerated according to salary group E 13 TV-L) starting January 1, 2026. The position is initially limited to 3
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, their achievements and productivity to the success of the whole institution. The Faculty of Computer Science, Institute of Theoretical Computer Science, the Chair of Algorithms offers a position as Research Associate
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position is to be filled at the institute at the earliest possible date, for a fixed term of three years, as part of the DFG funded project “A modular prion-like domain code for the activation of the heat
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), the Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI Dresden) offers a full-time position as Research Associate / PhD Student (m/f/x) (subject to personal qualification employees
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, their achievements and productivity to the success of the whole institution. At the Faculty of Environmental Sciences, Department of Geosciences, the Chair of Geodetic Earth System Research offers a position as
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software (e.g., LLM agents for finding and fixing bugs) Static and dynamic program analysis (e.g., to infer specifications) Test input generation (e.g., to compare the behavior of old and new code via
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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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, their achievements and productivity to the success of the whole institution. At the Faculty of Environmental Sciences, Department of Geosciences, the Chair of Geodetic Earth System Research offers a position as
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in close cooperation with the Helmholtz-Zentrum Dresden-RossendorfHZDR a project position as Research Associate / PhD Student (m/f/x) in Accelerator Mass Spectrometry (AMS) (subject to personal
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demands. To break this bottleneck and cut simulation time by orders of magnitude, you will design and implement surrogate models that learn the behavior of full‑physics codes using modern machine‑learning