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be applied to identify faint aerosol structures. Data evaluation is an essential part of the project work to distinguish between natural variability of the observed species and anthropogenic effects
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stipends. Stipend 1: AI-Driven Data Management for Knowledge Graph Construction and Querying You will develop methods for constructing and querying knowledge graphs, with a focus on integrating generative AI
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career development programmes in economics, accounting, finance and management at the PhD and post-doc levels in a single and unique structure. Within the Berlin School of Economics, Humboldt-Universität
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phosphonate linkers preparation and crystallization of new MOF structures advanced synthetic methods, including work with air-sensitive compounds (Schlenk techniques) comprehensive characterization of materials
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explore how salt distribution, structure formation, water management, and flavour release interact during processing, cooking, and consumption. Using advanced characterisation tools alongside sensory and
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Learning with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains
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, material properties and formulation behaviour, the project will explore how implant structure can be designed to regulate drug transport and provide sustained therapeutic release. The overall aim is to
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carbon allotropes influence MAX phase formation, structural evolution, and the resulting MXene architecture. By systematically tuning the carbon environment during synthesis, the project aims to synthesise
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master’s degree in economics, business, or any social science with the following: • Subject knowledge (economics, data science, agriculture, environmental science, or social science, structural equation
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moorings to examine short-time variability and eddy vertical structure in hydrography and currents. Using historical and new data, we will identify Topographic Rossby Wave modes, detect instability events