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position is the development of novel machine learning methods for modeling molecular properties, in particular regression models for bi-molecular properties. The research is embedded in the thematic context
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systems, including methods for colloid characterization Spatially resolved surface analysis using interference microscopy and autoradiography Derivation and parameterization of mechanisms Interdisciplinary
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the development and application of probabilistic inference methods and machine learning techniques for quantitative uncertainty modeling and for the integration of heterogeneous climate data
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. The research will investigate methods for safe drone control by integrating a digital twin of the urban operational environment, including landing sites, with the fundamental flying characteristics of each UAV
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addresses the need for integrated and adaptive network design methods that jointly consider infrastructure placement, vehicle performance, flight planning, and scheduling under uncertainty. Building