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candidate will be joining the Quantum Information Theory group led by Prof. Dr. Antonio Acin and will be working on on the performance of quantum key distribution protocols over existing networks using
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. The successful candidate will be joining the Quantum Information Theory group led by Prof. Dr. Antonio Acin and will be working on on the performance of quantum key distribution protocols over existing networks
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ICFO is offering a postdoctoral 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 Optoelectronics group led by Prof. Dr. Valerio...
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. SILEX 2025) to calculate the Fire Radiative Power (FRP) and compare with satellite observations (VIIRS, SLSTR, FCI). Develop a fire front segmentation algorithm using machine learning techniques (deep
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Description Distribution estimation algorithms for abductive inference (total or partial) in dynamic domains. Structural learning of dynamic Bayesian networks with discrete and continuous variables (parametric
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Development, implementation and experimentation of distribution estimation algorithms in dynamic optimization problems. Where to apply E-mail lauragveiga@fi.upm.es Requirements Research FieldComputer science
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Experience: In the development of medical devices in vision sciences. Implementation of psychophysical algorithms for vision. Design and analysis of clinical studies. Experience in functions similar to those
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engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications Electrical power systems and distribution network optimization. Machine Learning and Deep Learning applied to electrical systems. Basic quantum
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, distributed from Monday to Friday with flexible hours according to project requirements from 08:00 to 15:30 (flexible according to project requirements). Offer Starting Date 7 Nov 2025 Is the job funded through
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, CU/DU/RU split). - AI/ML algorithms and methods for joint compute and radio resource management at the 6G edge leveraging accelerators - Control- and data-plane separation, real-time scheduling, and