62 machine-learning "https:" "https:" "https:" "https:" "The Open University" positions at UNIVERSIDAD POLITECNICA DE MADRID
Sort by
Refine Your Search
-
integration of the project webpage into the institutional platform Uso de machine learning para estimar propiedades geomecánicas del terreno a partir de datos de laboratorio/ Use of machine learning to estimate
-
contrato está financiado por el proyecto Hybrid Structures for Integration of Photovoltaic Cells in Car Bodies con referencia SYG-2024/ECO-1016 y acrónimo HyPVCAR-CM, dentro del Programa Ayudas a proyectos
-
FieldEngineering » Industrial engineering Additional Information Eligibility criteria (https://www.upm.es/Investigacion/HRS4R/HRS4R/Seleccion ): COMENTARIOS ADICIONALES/ ADDITIONAL COMMENTS: Se aplican las pautas
-
inteligencia artificial/machine learning. Tecnologías IoT y sistemas distribuidos. Conocimientos en FPGA. // Knowledge of artificial intelligence/machine learning, oT technologies and distributed systems, and
-
deliverables writing, ability to work independently. Requisitos: Conocimientos de inteligencia artificial/machine learning. Diseño software, Gestión de datos, Arquitecturas backend (microservicios), Gestión de
-
LanguagesENGLISHLevelGood Research FieldTechnology » Communication technology Additional Information Eligibility criteria (https://www.upm.es/Investigacion/HRS4R/HRS4R/Seleccion ): COMENTARIOS ADICIONALES/ADDITIONAL COMMENTS
-
of water treatment processes and laboratory techniques; Ability to prepare technical reports and contribute to scientific writing. Computer Skills: Proficiency in Office/Google Workspace tools; asic data
-
urban transformation. - Full day (37.5 hours), - Flexible check-in and check-out times Eligibility criteria Enviar CV a b.gatoo@upm.es Send CV to b.gatoo@upm.es (https://www.upm.es/Investigacion/HRS4R
-
básicos de Machine Learning. // Basic knowledge of Machine Learning. • Habilidades en Ingeniería de Redes y Computación en la Nube-Edge. // Knowledge of Network Ingenieering and Cloud – Edge computing
-
or equivalent Skills/Qualifications A Bachelor's Degree or an equivalent in Computer Science, Telecommunication Engineering, or a related field with a strong academic background in Machine learning, Natural