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- ICN2
- Centre de Recerca en Agrigenòmica
- CIC energiGUNE
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- CENTRO DE INVESTIGACIÓN ECOLÓGICA Y APLICACIONES FORESTALES
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leading-edge basic and applied plant and farm animal sciences. CRAG is established as a Consortium of the Spanish National Research Council (CSIC), Institute of Agrifood Research and Technology (IRTA
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institute devoted to plant and agricultural sciences. CRAG offers excellent facilities to perform cutting-edge research, and an enhanced training and support program for PhD students and postdoctoral
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to work collaboratively in an interdisciplinary research team. Strong organizational and time management skills. Experience: PhD degree with Proved experience in the analysis of plant microbiome (preferably
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, European networks, non-competitive funds with industry as well as prestigious fellowships, such as already awarded Juan de la Cierva, Beatriu de Pinos or Ramon y Cajal. The institute has published in high
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substantial sun-harvested energy intake for powering the city. Nevertheless, the energy transition of large transport or heavy industry cannot be sustained by electricity, and thus requires high power density
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transport or heavy industry cannot be sustained by electricity, and thus requires high power density fuel alternatives such as hydrogen. Developing technologies for green H2 generation is thus another
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multidisciplinary environment at CIC energiGUNE and will contribute to a state-of-the-art project with an industrial partner aiming to develop safe and efficient lithium metal anodes for lithium metal batteries (LMBs
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also works towards the development of technological applications based on these materials such as electronics, bioelectronics and biosensing, neural interfaces, etc. The activities cut across different
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mathematicsEducation LevelPhD or equivalent Research FieldEngineeringEducation LevelPhD or equivalent Specific Requirements REQUIREMENTS Compulsory Requirements PhD. Title in Electronic or Industrial Engineering
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manufacturing (AM). This PhD/Post-doc focuses on enhancing the capabilities of XCT (X-ray Computed Tomography) technique by applying artificial intelligence to the reconstruction of the volumes, noise reduction