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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
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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 | 20 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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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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(mammalian cell cultures) and whole tissue level (preclinical cancer models). Main Tasks and responsibilities: The PhD candidate researcher will focus primarily on laboratory-based experimental work in the
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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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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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analysis, modeling and applied ML experience is recommended, given the need to identify patterns in large-scale behavioral logs. Software reverse engineering (Frida, IDA Pro) experience is recommended
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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