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- UNIVERSIDAD POLITECNICA DE MADRID
- Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH
- ICN2
- University of A Coruña
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- Institute for bioengineering of Catalonia, IBEC
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to artificial intelligence models. Study of explanation recovery in intelligent systems. Study of error detection in intelligent systems. Development of a test case for a mobile robot in a search and rescue
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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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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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Research Infrastructure? No Offer Description Mission: Develop perception algorithms that allow estimating the state of a mobile robot; monitoring and presentation of results. Functions to be developed
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site-specific and realistic radio propagation data through GPU-accelerated ray tracing to train AI/ML algorithms. Exploring the use of generative models for wireless channel modeling, e.g., to produce
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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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of the recruitment To develop leadership, mentoring, and project proposal preparation tasks in the field of quantum computing and communications. Functions -Assist in the coordination of the UPC working team
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and gray whales in satellite imagery off California” with the Californian NGO The Nature Conservancy. Functions to be developed: Carry out the research established in the marine mammal detection project
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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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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