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machine‑learning or data‑analytics tools High‑level programming skills (Python, R, Julia) to build, test, and optimize models of geochemical systems Interest in large‑scale computational simulations (e.g
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Python, Julia or C++ Knowledge of modern deep learning frameworks (e.g. pyTorch) Knowledge of collaborative software development tools (e.g. Version control: Git) Experience working in Linux shell/cluster
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be expected to collaborate with the other doctoral student of the HydroSIGNS project at the UFZ. A corresponding job advertisement will be available shortly at https://www.ufz.de/index.php?en=34276
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language (e.g., Matlab, Python) experience with special populations (e.g., autism) would be an advantage but is not essential We offer: As one of eleven German universities of excellence, TUD offers
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scientific questions Proficient in scientific software (e.g., Gatan DigitalMicrograph, Python, Origin, Matlab, SRIM/TRIM) Basic knowledge of scientific data analysis and statistical evaluation Good command
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university degree (diploma, master's degree) in transport or traffic flow or related study programs. Solid knowledge of at least one programming language, preferably Python, experience in model-based
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institutes at TU Clausthal, hosting several research groups. For more information about the ISSE Institute, please visit our website: https://www.isse.tu-clausthal.de/ Your responsibilities include: Research