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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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FOR DRAWING UP OF PREDOCTORAL CONTRACTS FOR THE TRAINING OF DOCTORAL STUDENTS FUNDED BY THE UPV'S RESEARCH STRUCTURES – SUBPROGRAMME 2 (PAID-01-22) 119865 Development of machine-learning and graph-based models
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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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OF DOCTORAL STUDENTS FUNDED BY THE UPV'S RESEARCH STRUCTURES – SUBPROGRAMME 2 (PAID-01-22)Nº 117967 Where to apply Website https://www.upv.es/entidades/vinv/download/27300 Requirements Research
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Biomarkers and Susceptibility Unit (UBS). To find out more, visit our website: https://www.odap-ico.org/ About the role We are seeking a highly motivated data scientist to join the research team on artificial
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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
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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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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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extensive electromagnetic modeling to optimize the waveguide structures for minimal loss, efficient confinement, and effective mode matching with external optical components. Particular attention will be
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. Functions to be developed: Review the literature and commercials to identify highly reflective, transition metal-free materials suitable for radiative cooling applications. Build and maintain a structured