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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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, 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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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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. Furthermore, he/she will participate in the development of computer vision algorithms for hyperspectral image analysis and mathematical models for knowledge inference, with the aim of estimating the key
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ICFO is offering a project research engineer position to a well-qualified, highly motivated and dynamic young scientist who wishes to enhance his/her scientific career in a friendly and stimulating environment. The successful candidate will be joining the Quantum Nano-Optoelectronics group led...
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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
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. Development and experimental validation of control algorithms in a laboratory environment. Communicate and disseminate research results through high-quality scientific channels including high impact scientific
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algorithms to develop intelligent resource detection models. This position is funded under the HUNOSA-25-2 project and offers a unique opportunity to contribute to cutting-edge research in planetary science