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, including the development of the necessary methodologies or algorithms Where to apply E-mail ap.seiffert@upm.es Requirements Research FieldEngineering » Biomedical engineeringEducation LevelBachelor Degree
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career. KEY RESPONSIBILITIES Development of machine learning & deep learning algorithms to augment clinical decision-making and guide the development of new therapies and diagnostics. Carry out high
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 19 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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developed: Write and maintain code to implement the core functionality and system logic that powers the application. Design algorithms and procedures for negotiating agreements between transport companies
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for the acquisition and storage of radiofrequency data. Develop (train and validate) AI and ML algorithms to detect and mitigate RFIs. Implement other RFI detection and mitigation algorithms (pulse blanking
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Laboratory team to collaborate in the execution of the tasks of the Horizon Europe projects AIRSHIP, CORESENSE and METATOOL. The concrete work is the development of software packages including control
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Objective - To design and develop reconfigurable Battery Management Systems (BMS) for electric vehicles, with a focus on innovation, efficiency, and adaptability to evolving technological requirements
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on USRPs to test AI-based communication algorithms under realistic channel conditions. The offered position is an excellent opportunity to further develop the candidate’s SDR skills, acquire state-of-the-art
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a unique opportunity to contribute to cutting-edge research dissecting how cancer cells interact with their microenvironment in response to therapeutic intervention. Our research team develops and
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. Specifically, its activities will be developed in the following areas: - Design and creation of technical content and audiovisual material about IA algorithm, machine learning techniques and IoT. - Support to