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of deployment and management of the support infrastructure for the conversational assistant platform and related ETL systems. Build and maintain CI/CD pipelines for models and backend services (Python, Node.js
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. Molecular analysis of different cohorts of lung cancer patients. Animal experimentation (generation of PDX, humanized PDX, xenografts and genetically modified models), use of these models as a preclinical
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Victoria Moreno is seeking a highly motivated PhD student to join our team (http://www.cipf.es/regeneracion-neuronal ). Our group works with preclinical models in search of an effective therapeutic strategy
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health research on Virus evolution using Organoids models (APROVO)” in the frame of the APROVO Project (Proyectos de Generación de Conocimiento, Ministerio de Ciencia, Innovación y Universidades). The PhD
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for Bioengineering of Catalonia (IBEC) is seeking a highly motivated Pre-doctoral Researcher to join an exciting PhD project focused on modeling human tauopathies. The successful candidate will work with mouse models
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patient outcomes. Structured around three core scientific pillars—regenerative medicine, biomaterial science, and translational research models—SHIELD supports research on therapeutic strategies, novel
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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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) 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