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. This project will critically examine this landscape, exploring what kinds of data sharing and re-use practices are afforded by different models for open science. It will lay the groundwork for novel approaches
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promise in any area of theoretical solid-state physics, including but not limited to modeling of oxides and their surfaces, machine learning methods, and/or development of novel solutions to solve the many
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an outstanding research profile in applied or computational PDEs, who apply their expertise to address contemporary societal challenges. Areas of application may include, but are not limited to, climate modeling
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for your continuous professional development Fixed-term employment contract and fair, transparent salary according to the collective agreement Model 2: The contract term upon employment is 4 years. Initially
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continuous professional development Fixed-term employment contract and fair, transparent salary according to the collective agreement Model 2: The contract term upon employment is 4 years. Initially limited
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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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) Solid knowledge and some experience in statistical modeling High interest in working in an interdisciplinary research field Experience in academic writing and with research methods First experiences in
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means: You are involved in research projects and scientific studies in the field(s) of geophysics, soil physics and modeling, geoecology, and geochemistry. You conduct field and laboratory experiments, as
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Research: Visual Exploration and AI Prediction Modeling of Real-Life, Multi-Modal Data’ as Data Manager. Work alongside leading experts at the Computational Imaging Research Lab (CIR ) and the Department