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STUDENTS FUNDED BY THE UPV'S RESEARCH STRUCTURES – SUBPROGRAMME 2 (PAID-01-22) 119977 Development of mathematical and machine-learning algorithms to support an intelligent, integrated system for biosafety
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. Contribute to ongoing projects, such as: AI-based modeling of cortical circuit structure and function from single-cell transcriptomic data. o AI-based super-resolution of low-field MR images in developing
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glass structuring is very welcome. The successful candidate will contribute to both technical innovation and Pilot Line development in collaboration with academic and industrial stakeholders. Key
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of the following activities and tasks that fall within the objectives of the research line and the project: a) Development of high-precision models for analyzing fluid-structure interaction problems. b
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Basque Center for Macromolecular Design and Engineering POLYMAT Fundazioa | Spain | about 1 month ago
the production of polymer latexes that involves a complex, heterogeneous polymerization system and leads to polymers with a diverse range of structures. This project looks to use machine learning to better target
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large amounts of data that require efficient compression techniques. This project introduces the study of new compression methodologies (classical and AI-based) and compact data structures, to optimize
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glass structuring is very welcome. The successful candidate will contribute to both technical innovation and Pilot Line development in collaboration with academic and industrial stakeholders. Key
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Investigate the use of causal discovery methods in "concept drift" situations in structural causal models. In semiparametric Bayesian networks, investigate the selection of covariance matrices and the
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Description Distribution estimation algorithms for abductive inference (total or partial) in dynamic domains. Structural learning of dynamic Bayesian networks with discrete and continuous variables (parametric
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Research Infrastructure? No Offer Description Mission: Provide support in the construction of the experimental assembly of the THYPEL project. Functions to be developed: Design, assemble and validate