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- UNIVERSIDAD POLITECNICA DE MADRID
- Institute of Photonic Sciences
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- agencia estatal consejo superior de investigaciones cientificas
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contrato está financiado por el proyecto Hybrid Structures for Integration of Photovoltaic Cells in Car Bodies con referencia SYG-2024/ECO-1016 y acrónimo HyPVCAR-CM, dentro del Programa Ayudas a proyectos
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(https://www.urv.cat/en/ ). The School of Chemical Engineering of the URV is in Campus Sescelades, Av. Països Catalans, 26, 43007 Tarragona. You will find more information about working at URV and the
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for the Training of Pre-doctoral Research Staff associated with these projects), by the State Research Agency. Where to apply Website https://gestiononline.bioef.eus/ConvocatoriasPropiasBiobizkaia/es/Convocatorias
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TO THE SPANISH SYSTEM OF SCIENCE, TECHNOLOGY AND INNOVATION, FUNDED BY THE UPV RESEARCH STRUCTURES (PAID-10-22) Nº 118623 This position has the aim of evaluating livestock farms from an environmental and energy
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and Conjugated Porous Polymers by means of electropolymerisation. Characterization of structural, optical and morphological properties of the synthesized materials. Characterization
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rheology assays. Where to apply Website https://jobs.icfo.eu/?detail=1058 Requirements Research FieldPhysicsEducation LevelMaster Degree or equivalent Skills/Qualifications The succesful candidate has a
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structures, 3D printing, cryogenic applications, sustainability of materials, among others. Duration of the grant: 2 years Where to apply Website https://forms.office.com/e/66AYfS7Ngx Requirements Research
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changes in light, environment and structure switch the function of photoactive systems on and off. We obtain structural information of the different steps of such molecular switches by developing and
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and their application in environmental samples. Where to apply Website https://sede.udc.gal/services/electronic_board/EXP2025/012515 Requirements Research FieldChemistry » Structural chemistryEducation
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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