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scientific coding skills in Python. You are strongly motivated to acquire advanced skills in Python and Fortran and in the use of high-performance computer systems you have affinity and preferably experience
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experience in pytorch and/or tensorflow) knowledge of statistical methods and programming (R and Python) prior experience in machine learning and ideally also on applications in the health domain and/or
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economics or Urban Geography with proven quantitative research skills; proven experience with quantitative spatial analysis tools such as QGIS and extensive coding experience in preferably R or Python; strong
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data analysis, preferably using R or Python, and motivation to acquire advanced skills Ability to work independently in the lab and field, but also in the interdisciplinary project team Excellent writing