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- UNIVERSIDAD POLITECNICA DE MADRID
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Field
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Infrastructure? No Offer Description Mission: Carry out analyses of soil, plant tissue and other materials. Functions to be developed: Carry out analyses of soil, plant tissue and other materials. Analyze and
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of the other WPs that will be developed in Spain. In addition, it is expected that the postdoc contributes to others projects related to agroforestry systems currently ongoing. Main tasks will be field work
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of chronic allograft dysfunction and developing personalized immunosuppressive strategies that minimize side effects and toxicity. Chronic Lung Allograft Dysfunction (CLAD) is the main barrier to long-term
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Contribute to the preparation of scientific and technical reports. Develop and apply methodologies based on Density Functional Theory (DFT) to complex systems. Support simulation tasks and results analysis
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. The successful candidate will be joining the Optoelectronics group led by Prof. Dr. Valerio Pruneri. The successful candidate will be responsible for the development of quantum communication devices, systems and
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 19 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 19 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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), as well as large-scale infrastructures like fusion reactors, circular colliders, and NMR systems above 1 GHz; magnetic fusion currently driving most HTS tape development. However, high throughput
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Sebastián (Spain), and at the University of Antwerp (Belgium). The work will involve the development of methods for nanoparticle growth in flow reactors, including in situ growth in an electron microscope
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la escalabilidad de redes cuánticas. (EN): Research and development tasks related to the integration and evaluation of quantum-network systems for its scalability, in the MadQCI network. This includes