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of workflows in Python to optimize throughput, reproducibility, and data management. The overarching goal is to create a standardized and scalable platform that accel-erates discovery in stem cell biology and
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: Programming skills (e.g., Python). Experience with digital materials science, data organization, and storage. We Offer: A 3-year E13 TV-L 100% contract starting 2025 or 2026, depending on availability. A
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Experience with basic molecular biology techniques (PCR, cloning etc.) Preferably knowledge in the characterization of microbial rhodopsins Skills in data analysis with Python Excellent organizational
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Postdoc (f/m/d) in Irradiation Tolerance of Additive Manufactured Ferritic/Martensitic Steels for...
partners # Enjoyment in working on complex scientific questions and implementing them experimentally # Confident use of scientific software (e.g. Gatan DigitalMicrograph, Python, Origin, Matlab, SRIM/TRIM
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of the programming languages Fortran and Python. Experience in modelling atmospheric aerosols on supercomputers Excellent communication skills in English, both written and spoken Ability to work independently and as
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Leibniz Institute for Plasma Science and Technology | Greifswald, Mecklenburg Vorpommern | Germany | 7 days ago
their immunogenicity; Develop analysis strategies for large data sets and correlation matrix using programming languages (R, Python, SQL, etc.); Scientific supervision of undergraduate and doctoral
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practical experience in machine learning, evidenced by publications, personal projects, or professional work Expert-level proficiency in Python and PyTorch Strong publication record in peer-reviewed venues
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, etc.) Preferred qualifications: Experienced in working with rodents Experience in 3D cell culture of patient derived tumor cells Experience in grant acquisition Programming Skills (R, Python etc
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their immunogenicity; Develop analysis strategies for large data sets and correlation matrix using programming languages (R, Python, SQL, etc.); Scientific supervision of undergraduate and doctoral
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, parameterization, simulation experiments, and output analysis very good programming skills in at least one language (e. g., R, Python, C++, or Julia) a strong interest in interdisciplinary work (e. g., demonstrated