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the official way through the university job portal): Universität Greifswald Institut für Biochemie Herr Prof. Dr. Andreas Schlundt Felix-Hausdorff-Str. 4 andreas.schlundt@uni-greifswald.de
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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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scientific questions Proficient use of scientific software (e.g., Gatan DigitalMicrograph, Python, Origin, Matlab) Basic knowledge of scientific data analysis and statistical evaluation Good knowledge of MS
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(at least in Python and C++); ideally strong hands-on experience with ROS2. Experience in AI development, especially with neural networks. Experience with standard software development tools (Git, CI/CD, IDEs
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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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-motivation and interest to learn new skills Great to have: Experience programming in Python, Julia, or C/C++ Experience with Mathematica Experience with finite element methods, agent-based simulations, and/or
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to planetary, geological and mineral resource research. Email: Audrey.Bouvier(at)uni-bayreuth.de Prof. Dr. Johannes Buchen . Experimental measurements of the physical properties of geomaterials to constrain
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the official DAAD template [doc-Datei] and ask your professors to email the confidential document to the GSPoL (admissions.gspol at uni-muenster.de ). Step 2: personal interview at the GSPoL Step 3
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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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work (maximum one page), certificates and transcripts of previous degrees (Bachelor’s Master’s), two reference letters by senior researchers to sarah.koester at uni-goettingen.de (preferably as only