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methodological and conceptual impact. The historical research is intended not simply as a parallel study, but as a source of conceptual insight for the contemporary physics and mathematics in the project. The
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GIScience, geoinformatics, spatial data science, spatial analytics, or a related field; experience with diverse spatial analytical methods; strong programming skills (e.g., Python) and version control
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engagement and participatory research with quantitative system modelling of our research group; experience with systems modeling and computer programming (e.g. Python); strong communication and scientific
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models) or probabilistic modelling is a strong plus. You have good programming skills in Python and experience with a deep learning framework such as PyTorch. You enjoy interdisciplinary work: you will