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Field
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signal processing and network architecture solutions that exploit Integrated Sensing And Communications (ISAC). The candidate will research signal processing and radio resource management algorithms
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of custom solutions for embedded edge devices • Implementation of edge processing solutions in RISC-V architectures • Integration and evaluation of software algorithms in reconfigurable hardware Where
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quantum environments, algorithms, quantum Machine learning , etc. Guide the writing of articles and possible dissemination activities related to the different quantum computing projects. Participate in
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-world data or RWD: structural and functional analysis of the databases used in the projects; data analysis and extraction; development and execution of algorithms and mathematical models; literature
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. ----------------------------- - Develop evaluation environments for Artificial Intelligence algorithms for complex astrodynamics and trajectory optimization problems. - Build and structure a dataset consisting of complex astrodynamics
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Requirements Educational Requirements: Clinical optometry. Contact lenses. Experimental systems in the field of optics. Algorithms for presenting visual tests on displays. Statistical analysis of the results
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implementation of algorithms for generating landscapes, structures, and elements of simulation environments. The goal is to provide a diverse and high-quality data bank for use in simulation and artificial
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… Requirements Research FieldPhysics » OpticsEducation LevelBachelor Degree or equivalent Skills/Qualifications Technical competences: Experimental systems: tech of auto-refraction and tests of vision. Algorithms
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), exploring their capacity to manage system requirements, and developing machine learning and active inference algorithms to support the design and execution of distributed computing systems. The main tasks
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slicing, virtualization, SDN/MEC/NFV. Familiarity with AI/ML algorithms, tools, and basic workflows. Good publication record in scientific peer-reviewed journals Preferred Qualifications: Good knowledge