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propagation solely through spatial structures, we develop THz time-varying photonic systems based on subwavelength waveguides, where ultrafast excitations modify the optical properties of a material on the
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trace element distributions at high spatial resolution. The resulting data will be integrated into thermodynamic models (e.g. FACTSage-based approaches) to support process optimisation and control in
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. This interdisciplinary approach relies on the complementary expertise of S. Giordano (IEMN), who will develop a multiscale mathematical model of the multicellular system, and F. Anquez (PhLAM), who will lead the imaging
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Systems Engineering (ICE-1), our focus is on developing models and algorithms for simulating and optimizing decentralized, integrated energy systems. These systems are characterized by the high spatial and
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Brillouin); (2) to extend this analysis to an inhomogeneous geometry representative of direct drive con-ditions, in 2D or 3D geometry, and taking into account the spatial structure of the beam (speckle
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Section of the Department of Human Geography and Spatial Planning, with close collaboration with the Innovation Studies Section at the Copernicus Institute of Sustainable Development. Both groups
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student-scholarship holder at the Poznan Doctoral School of Institutes of Polish Academy of Sciences
that will enable the identification of cancer cells experiencing hypoxia. This will allow us to track their fate both in three-dimensional tumor spheroids cultured in vitro and in orthotopic mouse models in
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of the effects of land use and climate change on mountain ecosystems and landscapes Methodological knowledge for analysing social-ecological systems (e.g. Theory of Change, DPSIR model) and for analysing trade
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to increasing traffic loads and environmental effects, efficient methods for monitoring their condition become essential. Traditional inspection approaches can be costly, time-consuming, and limited in spatial
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. Traditional inspection approaches can be costly, time-consuming, and limited in spatial and temporal coverage. This PhD project addresses these challenges by developing innovative methods to assess railway