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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 20 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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two companies. The project has partners from eight different EU countries. All 15 PhD projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications
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, combining street-level information, citizen-generated data, and spatial analyses to assess how visible, accessible and equitably distributed different kinds of green spaces are. A key part of your work will
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in a systematic way. Different engineering disciplines form their respective bodies of knowledge including key methods implemented by a mathematical apparatus (e.g. the one used to describe electrical
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develop federated methods which can handle heterogeneous and inconsistent medical data. This involves harmonization of data from different hospitals (without having all data in one place), developing new
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responses of the species in question to different stimuli and putting the results in an ecological context. The project will largely rely on laboratory experiments using image and video detection and
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individual variability. Moving beyond classical localisationist accounts, the project aims to understand how language functions arise from large-scale network organisation and how these networks differ across
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-carrier (SC) techniques described in [3], the narrowband beamforming model, where signals received over different antenna elements are identical up to a phase shift, may become invalid so that additional
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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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, TEM, EBSD). Learning representations that are robust to scale changes, modality shifts, and domain differences across instruments and laboratories. Designing active learning and experimental design