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- Instituto Superior Técnico
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Grant (BI) for a Master’s degree holder within the scope of the ESCXEL – Network of Schools of Excellence Project, funded by national funds. The research activities will focus on the monitoring and
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– development of scenarios for the network analysis. --- Model development – development of a model that enables the analysis of the impacts of adding sensing capabilities. --- Model implementation
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management and publication platforms; e) Basic understanding of network analysis; f) Knowledge of Angolan history. Additional Information Benefits Applicable legislation and regulations: Law no. 40/2004, of 18
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strategies, moving from linear models (regression, mixed models) towards neural network architectures, with comparative analysis of performance gains and interpretability. • Integration of the developed
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Technologies; Develop a conceptual model for network analysis; Evaluate the reliability, capacity, and quality of the records and reports of the transport network in Guimarães, Amarante, and Lamego; Evaluate
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the analysis of genomic and transcriptomic data. Preference will be given to candidates with experience in the use and development of computational tools for theanalysis of regulatory networks. Additional
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Images Work Plan: -Review of the state of the art on image segmentation models. -Implementation of prototype optimizers for neural networks. -Experimentation with the developed prototype and analysis
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
, reference no. 2023.18249.ICDT, financed by national funds through FCT/MCTES (PIDDAC Workplan: Development of new algorithms based on statistical analysis for the detection of bursts in water distribution
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, recording of operational context, and ensuring the quality of collected data; c) Organization, annotation, and initial pre-processing of collected data, ensuring proper structuring for subsequent analysis; d
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Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa. | Portugal | 3 months ago
or application of deep neural network models; b) Mass spectrometry data analysis – 20% Practical experience, methodological knowledge and/or academic training in the analysis and interpretation of mass