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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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modeling and long-term stability studies. Candidate profile BSc + MSc degree in Chemistry, Chemical Engineering, Materials Science, Nanoscience, or related disciplines. Strong academic record enabling access
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models, clinical approaches, AI methods (e.g., NLP), and neuroimaging, with opportunities to participate in network-wide events and international training activities. The position includes implementing a
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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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modelling and statistical and GIS software (R, QGIS/ArcGIS, Python). - Excellent scientific writing and communication skills in English and Spanish. Specific Requirements • Doctorado en Programas de
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CIEMAT (Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas) | Spain | 26 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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Instituto de Ciencias del Patrimonio - Spanish Council for Scientific Research (CSIC) | Spain | 1 day ago
. Given the complexity of field work due to rugged topography and dense vegetation even in small islands, your work will contribute to the development of archaeology in inland areas as well as to explore
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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
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: Synthesis and optimization of PLGA-based nanoparticles and enzymatic nanomotors. Drug loading/release studies in cellular models. Development of patient-derived mucus-secreting tumor-on-a-chip model
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, aiming to develop models capable of interpreting visual data and responding to clinical queries in a reliable and explainable manner. Where to apply Website https://www.upv.es/entidades/vinv/programas-de