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the gas phase Experience with diagnostics based on cavity enhanced spectroscopy Experience in the field of plasma spectroscopy Confident use of tools such as Python, Matlab and Origin Highly motivated 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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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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river delta models. Demonstrable ability to use programming languages such as Python, Julia, C, C++ or Fortran. Familiarity analysing functional diversity and/or geomorphological information. Curiosity
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in machine learning, AI and programming skills, e.g. Python basic knowledge of materials science / materials engineering Leibniz-IWT is a certified family-friendly research institute and actively
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related field. You bring strong quantitative skills (e.g., R/Python, bioinformatics pipelines) and experience with high‑throughput sequencing and/or acoustic data analysis. You thrive in international
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-performance computing systems Familiarity with operating systems such as Linux/Unix and proficiency in shell scripting Strong programming skills, preferably in Fortran and Python Competency in visualizing and
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reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming languages (C++, Python, or Julia) is highly relevant. Knowledge
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statistical analysis and demonstrated proficiency in Python, R, and/or MATLAB Prior experience in neuroimaging data analysis, AI methods, and/or the computational modeling of psychological processes is