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, Data characterization and analysis, Development of dashboard and visualization systems, Development of artificial intelligence models and user interfaces necessary for the system along with
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Offer Description Completion of doctoral thesis related to: - Modelling of the geometry for the simulation of the detectors - Meshing of the geometry - CFD simulation - Analysis of the results
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the EU Research Framework Programme? Not funded by a EU programme Reference Number 169666 Is the Job related to staff position within a Research Infrastructure? No Offer Description Design of the model and
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conferences (punctuation: 20) Item 03: Advanced knowledge of experimental data analysis in R, including mixed models (LMM and GLMM) and survival models (Cox) (punctuation: 15) Item 04: Previous experience in
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- Literature review and data analysis. - Development of predictive models and innovative risk assessment methods. - Sample analysis and toxicological evaluation. - Probabilistic exposure modeling and uncertainty
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Description Completion of doctoral thesis related to: Process and analyze experimental data. Develop predictive models using deep learning. Train, validate, and optimize neural networks (CNNs, etc.) applied
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to: -Identification and analysis of existing quality evaluation frameworks and models for the assessment of interlingual live captions, including the most frequent workflows used and in varied language pairs (EN-ES, EN
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to the geospatial data processing for the automated creation of digital models. Preparation of associated scientific and technical documentation, including articles, reports, and conference papers Where to apply
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the design and optimization of multistatic and multifrequency radar architectures for near-field 3D imaging. - Contribute to the electromagnetic modeling of radiating systems, wave-object interaction, and