17 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "Simons Foundation" uni jobs at UNIVERSIDAD POLITECNICA DE MADRID
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FieldTechnology » OtherEducation LevelMaster Degree or equivalent Skills/Qualifications Sólida formación en Machine Learning and Deep Learning / Strong background in Machine Learning and Deep Learning Experiencia
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-signal circuits. - Valuable Knowledge of comercial design tools like Cadence / Synopsys. - Competence in computer architectures and digital system design with HDLs (Verilog or VHDL). - Knowledge
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investigación de la Universidad Politécnica de Madrid, aprobado en la UPM. Website for additional job details http://www.idr.upm.es/index.php/es/ Work Location(s) Number of offers available1Company
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técnico y personal gestor relacionado con la investigación de la Universidad Politécnica de Madrid, aprobado en la UPM. Website for additional job details https://torroja.dmt.upm.es Work Location(s) Number
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básica en análisis de datos. Programación en Python. Conocimiento de modelos de machine y deep learning. Nivel medio de inglés. Secondary school diploma, vocational training (FP), or Bachelor’s degree
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de Recuperación, Transformación y Resiliencia and the Mecanismo de Recuperación y Resiliencia. Funded by the European Union - NextGenerationEU. Website for additional job details https
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tax resident in Spain. The office work location is in Boadilla del Monte, near Madrid, Spain. LanguagesSPANISHLevelExcellent LanguagesENGLISHLevelGood Additional Information Benefits https://www.upm.es
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architectures and digital system design with HDLs (Verilog or VHDL). - Knowledge heterogeneous integration or chiplet design. Currently, pursuing a master's degree with specific content on electronic design, the
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/InstituteFacultad de Ciencias de la Actividad Física y del DeporteCountrySpainState/ProvinceMADRIDCityMADRIDPostal Code28040StreetC/ MARTIN FIERRO 7 Contact State/Province Madrid City Madrid Website https
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deep learning models to predict and analyze large-scale orbital capability. - Evaluate and optimize the performance of the models, comparing them with traditional orbital analysis methods. Where to apply