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Field
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: Developing and applying simulation and optimization models to analyze energy flows, operational strategies and design decisions in a multi-energy system (power, gas, heat) Investigating different community
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Phenorob, we develop novel agrogeophysical methods to obtain noninvasive subsoil information that can be used to advance root phenotyping and soil functions. Soil-root interactions will be analyzed across
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biosynthetic gene clusters and other molecular features relevant to natural product drug discovery Validating machine-learning and deep-learning models to predict the chemical structures and bioactivity
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the University of Stuttgart, and with the right to award doctorates, it represents an innovative and unique organisational and structural model for the doctoral phase by connecting research and qualification as
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speed of initial GIS growth, it would be valuable in calibrating model forecasts of melt. Reconstructing growth of the GIS is a 10s-of-million-dollar endeavour that requires deep drilling of marine
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that the nature of the inner structures changes in response to external structures emerging and strengthening as the Reynolds number increases. Thus, this provides strong motivation for modelling the effects
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aims to design and study advanced porous solids, such as MOFs, COFs, zeolites, carbonaceous materials, etc., for: Selective CO₂ capture and separation from gas streams Adsorption-based cooling and heat
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structure and their possible extended formation from the low solar corona to inter-planetary space. Most existing global MHD models are largely limited by their lower boundary at 0.1 astronomical unit and
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knowledge gaps. The project involves both linear and nonlinear dynamics modelling and analysis, as well as experimental testing. An equivalent test structure will first be constructed in the vibration
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social network analysis methods that incorporate both network structure and the personal attributes of nodes, while minimising bias against individuals or groups. The project will be developed with