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y glosario de datos Aprendizaje y evaluación de modelos de ML Data models definiton Data catalog and glossary ML model training and evaluation Where to apply E-mail antoniojesus.diaz@upm.es
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modelado generativo para habla/audio / Investigation of diffusion models, flow matching, and generative modeling for speech/audio Diseño de arquitecturas neuronales para TTS y ASR / Design of neural
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position will included tasks related to integration synthetic genetic engineering, time-lapse microscopy imaging, lab-on-chip technology and advanced computer model simulations -- El puesto de investigador
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-based modelling, multivariate statistics). Specific Requirements Máster en Investigación Operativa, Ciencia de Datos, Ingeniería del Transporte, Matemáticas, Ingeniería Informática, Física o un campo
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timber from demolition. Collaborate in the physical and mechanical characterization tests. Statistically analyze test results and perform numerical modeling of wave propagation phenomena. Contribute
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& Modeling: Develop and simulate numerical models of damage and failure in aerospace structures, including FEA for metamaterials. Materials Design & Characterization: Study and optimize metamaterials and
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studies and development of prototypes for confidentiality with algorithms and models for attach detection. Application in secure communications and 5g and 6g networks. Where to apply E-mail andres.mlopez
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, WebAssembly, and Istio. - Knowledge of Pero Trust platforms and federated data management. - Knowledge of OMOP and FHIR data models. - Experience with agile methodologies. - Advanced written and spoken English
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network performance data obtained from user devices. Assist in the development of basic models to predict or explain network behaviour under different conditions. Contribute to the improvement of internal
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network performance data obtained from user devices. Assist in the development of basic models to predict or explain network behaviour under different conditions. Contribute to the improvement of internal