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a closely related field with a focus on agricultural systems solid knowledge of crop modelling and/or data-driven approaches for agricultural decision support robust experience with Python proven
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related field Excellent English skills are essential Strong interest in interdisciplinary work and team orientation Experience with one or more of the following: programming languages (C++, Python), agent
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qualifications in probilistic risk modelling, applied statistics and familiar with quantitative risk modelling measures strong data analysis skills and proficiency in R and Python; experience with other programing
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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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background in neurobiology Strong interest in studies on sleep in model organisms such as zebrafish Familiarity with statistics and programing experience with Python Previous experience with neuroimaging is
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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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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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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