212 structures-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" positions in Spain
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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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to the construction of a powerful country in science and technology. II. Application requirements 1. Abide by the laws and regulations of the People’s Republic of China, have good scientific ethics, and practice
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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
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foR sOldierS and vehicleS” (EDF - European Commission). Where to apply Website https://sedeelectronica.unavarra.es/oficina/tramites/acceso.do?id=8734&block=PD… Requirements Research FieldPhysicsEducation
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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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) 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
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offshore renewable energy structures, with a particular emphasis on offshore wind turbines. While aerodynamic performance of the turbine blades is well studied, this project will focus on the interactions
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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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performant code, using good development practices like Git, unit/end-to-end testing, and peer-reviews. The team operates with an open, transparent, and self-organized structure. The ideal candidate enjoys
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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