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focuses on developing cutting-edge statistical/machine learning methods for fitting complex, multi-institutional network models to partially observed hospital infection data. This research will directly
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and innovations that complements and strengthens existing research on this topic within the NCT WERA and the One NCT. Particular, the professor will streamline the workflows for complex early clinical
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: Developing physics-informed neural networks (PINNs) for complex dynamical systems modeling and observer design Creating and validating digital twin architectures that incorporate physical laws and constraints
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be working primarily with scientific machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields
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: The research group of prof. Michal Masařík is a biomedical laboratory dedicated to exploring the molecular mechanisms that drive cancer progression, with a particular emphasis on the tumour microenvironment (TME
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provide a dynamic environment which empowers excellence with state-of-the-art technologies, cutting edge infrastructure, and a global scientific network. Contribute your knowledge, vision, and dedication
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- 1 fte Introduction This PhD position aims to investigate how complex temporalities of migration and mobility in urban contexts interact with policies aimed at migration and migration-related
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permanent Associate Professor position. In view of an increasingly pluralistic and secularised society, the Catholic Church in Europe is currently undergoing a complex and multi-layered process of
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the framework of the ERA Chair project "CBeRa: Strategic Integration of Complex Networks and Systems for Advancing Biomedical Research" (GA 101186558, HORIZON-WIDERA-2023-TALENTS-01), funded by the European
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project is a Marie Skłodowska-Curie Actions (MSCA) Doctoral Network that unites three core disciplines (design, manufacturing, and testing) towards the development of a next generation of patient-specific