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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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City University of New York, Advanced Science Research Center Position ID: CUNY-ASRC-PROF [#31365] Position Title: Position Type: Open Rank Position Location: New York, New York 10031
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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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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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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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: 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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the information encoded in our genome to better diagnose, treat, predict and prevent disease. From the individual patient with rare disease, to the many thousands affected by complex, widespread illness, we
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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
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across the university, in particular in the university-wide research network Responsible Digi- tal Society. Your position The new professor will enhance the research portfolio of the Department of Ma