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conduction properties of materials at the nanoscale. The ANTICHI project aims to develop and demonstrate a unique vacuum Scanning Thermal Microscopy (SThM) instrument capable of making contact thermal
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requires, in accordance with the regulations, that the arrival of the agent be authorized by the competent authority of MESR. This project aims to develop submicron light-emitting sources based on thin film
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temporarily, as needed, when needed. The goal of this project is to advance the understanding of how working memory is implemented in the human brain. To this end, the main objective is to develop a neural
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Doctoral Network that aims to educate and train the new generation of Doctoral Candidates (DCs) capable of tackling these challenges through cutting-edge interdisciplinary research and innovation. REUNATECH
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Multi-omics data integration and workflow improvement Development and application of machine learning-based algorithms for the identification of antibiotics-associated proteins and antimicrobial
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Help shape the future of solar energy. This iPhD project will develop a new technical framework for testing printed solar technologies—an emerging class of ultra-lightweight, flexible photovoltaics
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and develops a wide range of topics related to chemical hydrogen storage along the entire process chain. We place a particular emphasis on LOHC technology, addressing issues across different scales. Our
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) To develop Deep Learning algorithms to significantly speed up probabilistic inference algorithms of current spatial birth-death models 2) To incorporate fossil stratigraphic and spatial information into a new
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reproductive isolation. This will largely advance our still limited knowledge on the intricate mechanisms of CHC perception in particular and on speciation mechanisms mediated by chemosensory evolution in
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) on the potential development of a workforce governance framework and a national workforce registration scheme for sport and physical activity. The project will focus on how the wellbeing (including physical and