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Field
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de València announcing a selection process for an indefinite employment contract within the framework of a Line of Research: R&D&i Line: Machine learning for the development of predictive artificial
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collaborate on the preprocessing, storage, and harmonization of heterogeneous datasets, and will participate in the training, evaluation, and application of machine learning and explainable artificial
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. — Excellent communication skills and a user-centred approach. The following will be particularly valued — Experience in analysis using machine learning or artificial intelligence applied to biomedical images
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Requirements Research work on the application of reinforcement-based machine learning (Q-Learning) for the generation of multi-qubit entangled states. Previous experience in the development of studies on non
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HRER2026/357-222 Perfil R1 para desarrollo de algoritmos de IA / R1 profile to develop AI algorithms
autónoma. Competences: technical deliverables writing, ability to work independently. Requisitos: Conocimientos de inteligencia artificial/machine learning. Diseño software, Gestión de datos, Arquitecturas
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el ámbito de la Visión por Computador aplicada al procesamiento del rostro humano Demonstrable knowledge of computer vision. Demonstrable knowledge of machine learning. Cientific publications in
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plus Additional training in GATK, WES, RNA-seq, single-cell RNA-seq, WGCNA, machine learning applied to bioinformatics, methylation analysis, or multi-omic integration Advanced proficiency with the Linux
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://sede.urjc.es/tablon-oficial IN SPANISH Where to apply Website https://sede.urjc.es/web/guest/convocatorias Requirements Research FieldEngineering » Computer engineeringEducation LevelBachelor Degree
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Mission: Support research to improve the management of renewable energies. Functions to be developed: Develop machine learning algorithms. Implement and validate computational models. Plan networks with
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Research Infrastructure? No Offer Description Este contrato es parte del proyecto Machine learning optimization of heat pump architectures based on wireless power transfer sensors with high gain antennas