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2 Apr 2024 Job Information Organisation/Company UNIVERSIDAD POLITECNICA DE MADRID Department Instituto de Energía Solar Research Field Technology » Energy technology Researcher Profile First Stage Researcher (R1) Country Spain Application Deadline 26 Apr 2024 - 20:00 (Europe/Madrid) Type of...
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13 Mar 2024 Job Information Organisation/Company UNIVERSIDAD POLITECNICA DE MADRID Department Ingeniería de Sistemas Telemáticos Research Field Computer science » Digital systems Researcher Profile First Stage Researcher (R1) Country Spain Application Deadline 26 Mar 2024 - 20:00...
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Desarrollo de algoritmos de clasificación basados en aprendizaje profundo. Desarrollo de algoritmos de procesado de señal e imagen médica. Development of algorithms for classification based on deep learning
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emphasis in Computational Fluid Dynamics, Numerical/Computational techniques. Deep understanding of statistical methods. Experience in data analysis and surrogate methods. LanguagesENGLISHLevelExcellent
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modelos de selección de pacientes basados en redes neuronales. Exploración de técnicas federadas en entornos médicos Development of deep diagnosis models applied to medical records. Development of patients
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Engineering, with emphasis in Computational Fluid Dynamics, Numerical/Computational techniques and Turbulence. Deep understanding of CFD Experience in experimental arodynamics is a plus
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and collaborate with multidisciplinary interactions and education of PhD students. Candidates are expected to engage in full-time face-to-face research and study Work Location(s) Number of offers
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Aerospace Engineering or Mathematics - This is a plus: Master Degree in Aerospace Engineering or Master in Industrial Mathematics or PhD in Engineering - High level of programming in Matlab, Python and
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consecución de becas de excelencia internacional, la movilidad internacional, la docencia y acreditaciones de ANECA. PhD, more than 7 years working in R&D activities related to modelling of complex systems
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valorará conocimientos de otros idiomas de la EU. PhD in computer science is required. Knowledge of graphical engines. Programming R, JavaScript Experience with data visualisation libraries (e.g. D3, ggplot2