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introduces cell-free (CF) solutions based on O-RAN and AI to improve radio capacity while reducing energy consumption by up to 30% and cutting costs by a factor of 4 via distributed cascaded optical-hybrid
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the analysis of aircraft-based observations, controlled laboratory experiments, and the development of advanced simulation tools. In parallel, GRAIL addresses key technological challenges, including
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, electroencephalograph (EEG), electrocardiograph (ECG) Data management and analysis Scientific writing Supervision of experimental development and provision of refinement or improvements Results dissemination Supervision
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the University of Lleida. Responsibilities and tasks The overall aim is to develop methods and models (mainly in Python and OpenModelica) for optimization, and analysis of scale-grid systems integrated with power
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implement Python scripts for the automated control of electron microscopes; design and execute automated experiments, including real-time feedback loops between acquisition and data analysis; maintain
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novo genomes and transcriptomes, which may include the analysis of differentially expressed genes, as well as their functions. Examples of programs required: Trimmomatic, ipyrad, Trinity, Kraken, BUSCO
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, including visits to early childhood, primary, and secondary schools, using mobile devices to administer assessment instruments. Data analysis conducted at the ULPGC research facilities. Literature review
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RANs (UWA, Greece) DC5: Design of photonic processors for efficient neuromorphic data analysis (UWA, Greece) DC6: Design of XL-MIMO for CF networking (RAN, United Kingdom) DC7: Design of Compute Inter
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themes: development of innovative tools for single-cell and spatial analysis of lipid immunometabolism (Subprojects 1–5); molecular pathways linking lipid metabolism to immune activation and
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to cells. Carry out comprehensive characterisation of the novel materials including analysis of protein corona, evaluation of the mechanical properties and in vitro performance under simulated in vivo