79 postdoc-in-postdoc-in-automation-and-control-"Multiple" Fellowship positions in Portugal
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- Faculdade de Ciências Médicas|NOVA Medical School da Universidade NOVA de Lisboa.
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- Institute of Systems and Robotics-Faculty of Sciences and Technology of the University of Coimbra
- LNEC, I.P.
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, if applicable. Enrolment in a non-degree course developed in association or cooperation between a High Education Institution and one or multiple R&D units. Work plan: The CaSuLO project prioritizes
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of the current limitations of these tools, as well as the cataloging of potential improvements regarding the security of task automation pipelines. It also intends to explore the integration and customization
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of LIS ́s researchers, in the framework of Project Ethiack Portal – Platform for Ethical Hacking Automation supported by Artificial Intelligence (CENTRO2030-FEDER-00565200), co-financed by Portugal 2030
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informatics or related field, or in non-degree course developed in association or cooperation between a High Education Institution and one or multiple research units, namely in the area of informatics or
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High Education Institution and one or multiple research units. Work plan: The work plan to be executed includes the following tasks: 1) Synthesis, functionalization, and characterization of nanomaterials
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distribution networks, considering solutions such as FL Energy's OperatorFabric.; - Study human-machine interaction methodologies that reduce the complexity of supervising multiple distribution networks
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simulations with varying load levels and anomaly intensities. This dataset will be used to train and validate multiple artificial neural network architectures based on Multi-Layer Perceptrons (MLPs
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, description and curation of information in multiple formats, with a focus on handling digital content and metadata; conduct training sessions aimed at empowering users in the domain of information literacy
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. 5) Testing: Rigorous validation of simulation models and the effectiveness of suggested strategies through multiple race scenarios. Optimisation of algorithms based on the results obtained and
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, poses and movement. The extended video capture period contributes to the robustness of the data by including multiple patients, healthcare professionals, and clinical interventions. Data collection and