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knowledge of computational social sciences • Excellent knowledge of the following statistical software programs: R and Python • Experience in science communication and knowledge transfer (preferably
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CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences | Austria | 2 months ago
; Scripting/automation skills (Python, Bash, Ansible, or similar) for infrastructure management; Strong passion for open-source software, tools, and methodologies to foster innovation and security; Project
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, radionuclides, or air pollutants. Our future research strategy also includes studies of the higher atmosphere. To learn more about our team, we invite you to visit our website: https://flexteam.univie.ac.at
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and ordering catalogs, e.g., Swagelok Knowledge of aerosol physics and experience with measurement campaigns – particularly aircraft field experiments – is an advantage Interest in programming (Python
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relation to multilingualism and memory) Background in biomedical engineering Experience in advanced analysis of brain functional and structural data Coding skills (Python, MATLAB, R, Linux/Bash) Very good
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activities. This is part of your personality: Candidates should hold an excellent university degree in psychology. Strong computational skills are required, particularly in Python (numpy, pandas, scikit-learn
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, C, C++, C#, Python, JavaScript), technologies in the area of Internet-of-Things, web-based systems, databases, cloud computing, formal methods in CS Expertise in various application areas
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EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description https://www.akbild.ac.at/de/universitaet/offene-stellen/aktuelle-jobs/2… Where to apply Website
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Coding skills (Python, MATLAB, R, Linux/Bash) Very good English and German skills (B1) Team player with strong social / communication skills Coding skills (SPSS, JASP, R) Very good English and German
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further developing these modules, i.e. providing, maintaining and documenting Python and R code for further use in AMDC projects, using modern data science methods and machine learning approaches