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of RDM and Open Science Good knowledge of research practice, as well as a broad understanding of how research operates, and how data and software underpin reproducible research Knowledge of Python and
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, including devices and software. You analyze data from Ecological Momentary Assessment studies. You contribute to manuscripts for international peer-reviewed journals You contribute to grant applications and
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: The University of Vienna also offers you numerous benefits such as a company pension fund, travel allowances, discounted IT (hardware and software), special rates for language courses at the University Language
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, civil engineering, mobility management, or related disciplines. Good knowledge of software development, especially in data analysis in Python (e.g., Pandas, NumPy), visualisation (e.g., Matplotlib, Plotly
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communication skills an early career researcher with publication record, presentation skills and commitment to research integrity equipped with excellent software skills and hands-on experience with deep learning
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) and/or report(s) • Advanced statistical software skills are desirable, e.g., regression analyses, repeated-measures analysis, structural equation modelling, visualisation, preferably in R
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) and/or report(s) • Advanced statistical software skills are desirable, e.g., regression analyses, repeated-measures analysis, structural equation modelling, visualisation, preferably in R
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skills and competence (desirable skills): Ideally you are experienced or versed in publishing and layouting conference organization MaxQDA and social scinece GIS software university procedures and
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) European societies The European Physical Society The SpinTronicFactory EIMM European Institute of Molecular Magnetism Magnetometry.eu National societies LINKS Companies Societies Labs & Platforms Software
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Scientific Computing focuses on research in programming paradigms, languages, compilers, and software and hardware infrastructures for scientific computing to support users in the process of solving