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fosters critical discourse and encourages independent, innovative, and interdisciplinary approaches to the urgent spatial, socio-ecological, and political challenges. Participating Chairs at the LUS The LUS
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Learning methods for modeling spatial and spatio-temporal data, including point pattern data, possibly observed over complex domains. The candidate will specifically consider physics-informed statistical
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current transdisciplinary debates and critical discussions relevant to human geography in the aforementioned subject areas. For further insights into our work, please visit https://www.humangeographie.uni
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skills. More information may be found on the ENERPOL home page: https://cordis.europa.eu/project/id/101226229 The position provides salary according to TV-L 13, which is in accordance with EU guidelines
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’ motivation, engagement, and interest in science learning; (2) how technology including artificial intelligence may support students’ motivation and engagement in learning; (3) how spatial and environmental
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-time global scale water cycle dynamics, including human water demand at high spatial resolution. Given the critical role of water management in multifunctional landscapes, this research will enable
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postdoctoral researcher focusing on mathematical modelling of data and statistics within the Czech Science Foundation Junior Star project Socio-Spatial Situatedness of Roman Professions and its Impact on
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realizations, academic publications, and a design vocabulary intended to inspire future makers and researchers in the field of hybrid spatial storytelling. Master’s degree in audiovisual or visual arts, design
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. To learn more about the SCALES Postdoctoral Fellowship Program, visit our program page: https://climate.duke.edu/what-were-doing/scales-postdoctoral-fellows-program/ . Key Responsibilities Research
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systems. Uses spatial databases to store and query location‑based data. Familiar with tools that process or convert geospatial data. Follows security best practices when building GIS applications