62 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at UNIVERSIDAD POLITECNICA DE MADRID in Spain
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composites for enhanced durability, performing microstructural analysis and mechanical testing. Topology Optimization & AI Integration: Use AI and machine learning to guide structural and topology optimization
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the cloud-edge continuum for next-generation networks based on reinforcement learning. Evaluation of progress made in the project and design of a system for predictive behavior analysis, risk detection, and
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7 Jan 2026 Job Information Organisation/Company UNIVERSIDAD POLITECNICA DE MADRID Department HRS4R Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1
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. LanguagesENGLISHLevelExcellent Research FieldEngineering » Maritime engineeringPhysics » Applied physicsEngineering » Computer engineeringYears of Research Experience1 - 4 Additional Information Benefits Teletrabajo. Entorno
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7 Jan 2026 Job Information Organisation/Company UNIVERSIDAD POLITECNICA DE MADRID Department HRS4R Research Field Technology » Computer technology Researcher Profile First Stage Researcher (R1
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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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on design of mixed-signal circuits. - Valuable Knowledge of comercial design tools like Cadence / Synopsys. - Competence in computer architectures and digital system design with HDLs (Verilog or VHDL
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Requirements - Background on design of mixed-signal circuits. - Valuable Knowledge of comercial design tools like Cadence / Synopsys, ADS. - Competence in computer architectures and digital system design with
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certificates. 4. Non-Spanish candidates should provide the document with the equivalence of average grades from university studies completed at foreign centers: https://universidades.sede.gob.es/pagina/index
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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