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the economics of innovation or digital transformation. Our team is dedicated to exploring the effects of innovation and digital transformation on the economy and society, focusing on how the state can design
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of agroecological and digital innovations (ADIs) integrated into new Rural Community Business Models (RCBM). The research will support the development of a multi-level Decision Support Tool (BUS-DST) by refining and
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document fossil turtle specimens Process and analyze digital CT datasets of cranial and neurological structures Carry out geometric morphometric analyses to study shape variation Conduct eco-morphological
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created. At the same time, one of the world's most comprehensive natural history collections with over 30 million objects will be housed in modern collection buildings and completely digitized in
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atmospheric aerosol particles, their interactions with clouds and turbulence, and cloud microphysics. The focus is on both process-based studies and long-term observations, with which we contribute
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how plant P sensing and signalling influence mycorrhizal colonization and responses. Assess the relative importance of root traits, mycorrhizae, and rhizosphere processes for P efficiency under water
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. The department of Atmospheric Chemistry (ACD) and Atmospheric Microphysics (AMP) research the chemical and physical properties of aerosol particles and their interactions with clouds. Process-based laboratory
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such as the NEPS. Potential research areas include (but are not limited to): Item response modeling of achievement tests Analysis of process data (e.g., response times) to enhance competence measurements
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include application of process-based models (e.g., CANDY, DayCent, LDNDC, Daisy) to model within-field N-fluxes (e.g., N2O-losses, NO3-leaching, N-mineralization) support model parametrization, estimate N