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interconnected systems in order to support sustainable urban development and the well-being of their inhabitants. Project background This dissertation is part of the National Research Programme 81 (NRP 81
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, Geophysics, Computer Science, or a related field. A solid grasp of general physics and a keen interest in the physics of wave propagation. Strong programming skills in Python, Matlab, or similar languages. You
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: Undergraduate or (preferably) Master’s degree in a social science program with a preference for Political Science, Economics, Sociology, Data Science, Computational Social Science, or in a closely related
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programming (e.g., Python, C++, or similar) Experience with signal processing, machine learning frameworks, or statistical modeling Academic Background: A Master’s degree in Computer Science, Electrical
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in the fields of transportation, civil engineering, computer science, spatial planning, geography, geoinformation, psychology, economics, or an equivalent qualification. You must have a Msc certificate
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strong background in computational modelling and optimisation. Programming: Proficiency in Python Good knowledge of structural engineering software (FEA, DEM) Motivation to work in a multidisciplinary and
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: You've earned a Master's degree (MSc) in forestry, environmental economics, environmental systems science, or a related field. If you've studied topics like environmental management, economics, operations
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contribute to teaching activities and the supervision of student projects. Profile Required Qualifications: A Master's degree (MSc) in geodesy, geosciences, computer science, physics, or a closely related