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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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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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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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. 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 databases and data visualization. - Design of a timber architecture guide and a manual for the use of hardwoods. - Execution of experimental tests for the characterization of structural components and
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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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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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) involved in their perception and activation of plant immune responses. We now aim to deepen our understanding on the structural mechanisms of recognition of glycans by these PRRs, the signalling complexes in