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tasks of the position will be: • Morphological study of perovskite: monomers/polymers blends. • Preparation of Sn-based perovskite solar cells using organic selective contacts. • Chemical, structural and
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community of international PhD student, with structured training programe, symposia, retreats, beach volleyball, yoga, choir, and monthly institute-wide events. We are looking for talented candidates who wish
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, planning, action). - Experience with leveraging and tuning Large Language Models. - Understanding of intent-based networking (IBN) and goal decomposition from operator-level intents to micro-intents
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OF DOCTORAL STUDENTS FUNDED BY THE UPV'S RESEARCH STRUCTURES – SUBPROGRAMME 2 (PAID-01-22)113430 Where to apply Website https://www.upv.es/entidades/vinv/programas-de-apoyo-a-la-idi-recursos-humanos
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) Interpretable machine learning for network adaptation. In this thesis, the student will study how interpretable models and explainable learning algorithms could be used in real cellular networks for safe
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research infrastructure. Selected candidates will benefit from the ICN2 PhD Programme, which comprises a structured training path with scientific seminars, and technical and transferable skills training
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systems, with a particular focus on saline lakes and coastal lagoons. The research will combine fieldwork, water and sediment sampling, laboratory analyses, and numerical modelling to improve our
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CIEMAT (Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas) | Spain | 24 days ago
to analyze results and use them to validate current theoretical models and predictive codes. Where to apply Website https://www.ciemat.es/ Requirements Research FieldPhysicsEducation LevelMaster Degree
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CONTRACTS FOR THE TRAINING OF DOCTORAL STUDENTS FUNDED BY THE UPV'S RESEARCH STRUCTURES – SUBPROGRAMME 2 (PAID-01-22) 112059 This thesis explores new measurement and characterization techniques applied
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considered. Mandatory possession of Category D certification to work with laboratory animals and being able to apply for animal experimentation proyects. Experience with cancer mouse models, preferably lung