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both human and machine consumption scenarios. The work is closely aligned with ongoing international standardization efforts, namely within the JPEG XE activity. The scholarship holder will be integrated
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data pipelines and ml/nlp components. code quality and reproducibility indicators (portfolio, github, reports, project deliverables). Project fit and motivation (20%): alignment of interests with kag
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: Development and calibration of numerical models of pilot networks to explore the use of multiple monitored parameters (pressure, flow rate, basic and advanced water quality parameters) for anomaly detection
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data pipelines and ml/nlp components. code quality and reproducibility indicators (portfolio, github, reports, project deliverables). Project fit and motivation (20%): alignment of interests with kag
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PON. 3) optimization of VLC-based wireless access, employing advanced multiple-input multiple-output (MIMO) processing strategies, aiming at end-user data-rates exceeding 50 Gbps. 4) reporting
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gradients, focusing on cell identity and organization; and (3) comparative analysis between multiple published data sets of endothelial differentiation and organoid vascularization; Overall, this project will
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. Building on the existing FT-Transformer baseline and SNN-head experiments, the work aims to strengthen empirical evidence, improve interpretability, and align the methodology with Responsible AI principles
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to the development of effective materials aligned with industry needs WORK PLAN: ………………………………………………………………….…………………..................……..................…….................... The selected candidate will be responsible
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, deadlines and multiple streams of activity • Motivation to work in a multidisciplinary academic–industry environment • Proficiency in English (oral and written) • Good computer literacy (MS Office, data
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course developed in association or cooperation between a High Education Institution and one or multiple research units. Work plan: Develop work under the project “Molecular insight into the Na